20.7.1 Breast Cancer, Mammograms, Analysis, Mammography

Highnam, R.[Ralph], Brady, M.[Michael],
Mammographic Image Analysis,
KluwerFebruary 1999, ISBN 0-7923-5620-9.
WWW Version. BibRef 9902

MiniMammographic Database,
1995
WWW Version. Dataset, Mammography.

DDSM: Digital Database for Screening Mammography,
2000, USF.
HTML Version. Dataset, Mammography.

Bowyer, K.W., Astley, S., (Eds.)
Special Issue: State of the Art in Digital Mammographic Image Analysis,
PRAI(7), No. 6, December 1993, pp. 1309-1503. BibRef 9312

Goin, J.E.[James E.], Haberman, J.D.[JoAnn D.],
Automated Breast Cancer Detection by Thermography: Performance Goal and Diagnostic Feature Identification,
PR(16), No. 2, 1983, pp. 125-129.
WWW Version. 0309
BibRef
Earlier: PR(15), No. 5, 1982, pp. 425.
WWW Version. 0309
BibRef

Goin, J.E.[James E.],
ROC Curve Estimation and Hypothesis Testing: Applications to Breast Cancer Detection,
PR(15), No. 3, 1982, pp. 263-269.
WWW Version. 0309
BibRef

Karssemeijer, N.,
Stochastic model for automated detection of calcifications in digital mammograms,
IVC(10), No. 6, July-August 1992, pp. 369-375.
WWW Version. 0401
BibRef

Miller, P.[Peter], Astley, S.[Sue],
Classification of Breast Tissue by Texture Analysis,
IVC(10), No. 5, June 1992, pp. 277-282.
WWW Version. BibRef 9206
Earlier: BMVC91(xx-yy).
PDF Version. 9109
BibRef

Miller, P.[Peter], Astley, S.[Sue],
Automated detection of Breast Asymmetries,
BMVC93(xx-yy).
PDF Version. 9309
BibRef

Zheng, B.Y.[Bao-Yu], Qian, W.[Wei], Clarke, L.P.,
Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications,
MedImg(15), No. 5, October 1996, pp. 589-597.
IEEE Top Reference. 0203
BibRef

Sahiner, B., Chan, H.P.[Heang-Ping], Petrick, N., Wei, D.T.[Da-Tong], Helvie, M.A., Adler, D.D., Goodsitt, M.M.,
Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images,
MedImg(15), No. 5, October 1996, pp. 598-610.
IEEE Top Reference. 0203
BibRef

Kobatake, H., Yoshinaga, Y.,
Detection of spicules on mammogram based on skeleton analysis,
MedImg(15), No. 3, June 1996, pp. 235-245.
IEEE Top Reference. 0203
BibRef

Dhawan, A.P., Chitre, Y., Kaiser-Bonasso, C.,
Analysis of mammographic microcalcifications using gray-level image structure features,
MedImg(15), No. 3, June 1996, pp. 246-259.
IEEE Top Reference. 0203
BibRef

Strickland, R.N., Hahn, H.I.[Hee Il],
Wavelet transforms for detecting microcalcifications in mammograms,
MedImg(15), No. 2, April 1996, pp. 218-229.
IEEE Top Reference. 0203
BibRef
Earlier:
Wavelet transform matched filters for the detection and classification of microcalcifications in mammography,
ICIP95(I: 422-425).
IEEE DOI Link 9510
BibRef
Earlier:
Wavelet transforms for detecting microcalcifications in mammography,
ICIP94(I: 402-406).
IEEE DOI Link 9411
BibRef

Rangayyan, R.M., Elfaramawy, N.M., Desautels, J.E.L., Alim, O.A.,
Measures of Acutance and Shape for Classification of Breast-Tumors,
MedImg(16), No. 6, December 1997, pp. 799-810.
IEEE Top Reference. 9803
BibRef

Polakowski, W.E., Cournoyer, D.A., Rogers, S.K., Desimio, M.P., Ruck, D.W., Hoffmeister, J.W., Raines, R.A.,
Computer-Aided Breast-Cancer Detection and Diagnosis of Masses Using Difference of Gaussians and Derivative-Based Feature Saliency,
MedImg(16), No. 6, December 1997, pp. 811-819.
IEEE Top Reference. 9803
BibRef

Marchette, D.J., Lorey, R.A., Priebe, C.E.,
An Analysis of Local Feature-Extraction in Digital Mammography,
PR(30), No. 9, September 1997, pp. 1547-1554.
WWW Version. 9708
BibRef

Heine, J.J., Deans, S.R., Cullers, D.K., Stauduhar, R., Clarke, L.P.,
Multiresolution statistical analysis of high-resolution digital mammograms,
MedImg(16), No. 5, October 1997, pp. 503-515.
IEEE Top Reference. 0205
BibRef

Kim, J.K., Park, J.M., Song, K.S., Park, H.W.,
Detection of Clustered Microcalcifications on Mammograms Using Surrounding Region Dependence Method and Artificial Neural Network,
VLSIVideo(18), No. 3, April 1998, pp. 251-262. 9806
See also Adaptive Mammographic Image Enhancement Using First Derivative and Local Statistics. BibRef

Lee, Y.J.[Yong Jin], Park, J.M.[Jeong Mi], Park, H.W.[Hyun Wook],
Mammographic mass detection by adaptive thresholding and region growing,
IJIST(11), No. 5, 2000, pp. 340-346.
WWW Version. 0110
BibRef

Kim, J.K.[Jong Kook], Park, H.W.[Hyun Wook],
Statistical textural features for detection of microcalcifications in digitized mammograms,
MedImg(18), No. 3, March 1999, pp. 231-238.
IEEE Top Reference. 0110
BibRef
Earlier:
Surrounding Region Dependence Method For Detection Of Clustered Microcalcifications on Mammograms,
ICIP97(III: 535-538).
IEEE DOI Link 9710
BibRef

Lo, S.C.B., Chan, H.P., Lin, J.S., Li, H., Freedman, M.T., Mun, S.K.,
Artificial Convolution Neural-Network for Medical Image Pattern-Recognition,
NeurNet(8), No. 7-8, 1995, pp. 1201-1214. BibRef 9500

Lo, S.C.B., Lin, J.S.J., Freedman, M.T., Mun, S.K.,
Application of Artificial Neural Networks to Medical Image Pattern-Recognition: Detection of Clustered Microcalcifications on Mammograms and Lung-Cancer on Chest Radiographs,
VLSIVideo(18), No. 3, April 1998, pp. 263-274. 9806
BibRef

Lo, S.C.B.[Shih-Chung B.], Li, H.[Huai], Wang, Y.[Yue], Kinnard, L., Freedman, M.T.,
A multiple circular path convolution neural network system for detection of mammographic masses,
MedImg(21), No. 2, February 2002, pp. 150-158.
IEEE Top Reference. 0204
BibRef

Li, H., Liu, K., Lo, S.C., and Wang, Y.,
Stochastic Model and Probabilistic Decision-Based Classifier for Mass Detection in Digital Mammography,
ICIP97(III: 539-542).
IEEE DOI Link BibRef 9700

Tsujii, O.[Osamu], Freedman, M.T.[Matthew T.], Mun, S.K.[Seong K.],
Classification of microcalcifications in digital mammograms using trend-oriented radial basis function neural network,
PR(32), No. 5, May 1999, pp. 891-903.
WWW Version. BibRef 9905

Bottema, M.J.[Murk J.], Slavotinek, J.P.[John P.],
Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms,
PRL(21), No. 13-14, December 2000, pp. 1209-1214. 0011
BibRef
Earlier: SCIA99(Biological Applications II). BibRef

Ma, F.[Fei], Bajger, M.[Mariusz], Slavotinek, J.P.[John P.], Bottema, M.J.[Murk J.],
Two graph theory based methods for identifying the pectoral muscle in mammograms,
PR(40), No. 9, September 2007, pp. 2592-2602.
WWW Version. 0705
Adaptive pyramid; Minimum spanning tree; Segmentation; Pectoral muscle; Computer-aided diagnosis BibRef

Constantinidis, A.S., Fairhurst, M.C., Rahman, A.F.R.,
A new multi-expert decision combination algorithm and its application to the detection of circumscribed masses in digital mammograms,
PR(34), No. 8, August 2001, pp. 1527-1537.
WWW Version. 0105
BibRef

Grohman, W.M.[Wojciech M.], Dhawan, A.P.[Atam P.],
Fuzzy convex set-based pattern classification for analysis of mammographic microcalcifications,
PR(34), No. 7, July 2001, pp. 1469-1482.
WWW Version. 0105
BibRef

Liu, S.[Sheng], Babbs, C.F., Delp, E.J.,
Multiresolution detection of spiculated lesions in digital mammograms,
IP(10), No. 6, June 2001, pp. 874-884.
IEEE DOI Link 0106
BibRef
Earlier:
Normal mammogram analysis and recognition,
ICIP98(I: 727-731).
IEEE DOI Link 9810
BibRef

Liu, S., and Delp, E.J.,
Multiresolution Detection of Stellate Lesions in Mammograms,
ICIP97(II: 109-112).
IEEE DOI Link BibRef 9700

Kobatake, H., Murakami, M., Takeo, H., Nawano, S.,
Computerized detection of malignant tumors on digital mammograms,
MedImg(18), No. 5, May 1999, pp. 369-378.
IEEE Top Reference. 0110
BibRef

Kobatake, H., Yoshinaga, Y., Murakami, M.,
Automatic detection of malignant tumors on mammogram,
ICIP94(I: 407-410).
IEEE DOI Link 9411
BibRef

te Brake, G.M., Karssemeijer, N.,
Single and multiscale detection of masses in digital mammograms,
MedImg(18), No. 7, July 1999, pp. 628-639.
IEEE Top Reference. 0110
BibRef

Karssemeijer, N., te Brake, G.M.,
Detection of stellate distortions in mammograms,
MedImg(15), No. 5, October 1996, pp. 611-619.
IEEE Top Reference. 0203
BibRef

Netsch, T., Peitgen, H.O.,
Scale-space signatures for the detection of clustered microcalcifications in digital mammograms,
MedImg(18), No. 9, September 1999, pp. 774-786.
IEEE Top Reference. 0110
BibRef

Bruce, L.M., Adhami, R.R.,
Classifying mammographic mass shapes using the wavelet transform modulus-maxima method,
MedImg(18), No. 12, December 1999, pp. 1170-1177.
IEEE Top Reference. 0110
BibRef

Yu, S.[Songyang], Guan, L.[Ling],
A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films,
MedImg(19), No. 2, February 2000, pp. 115-126.
IEEE Top Reference. 0110
BibRef

Mudigonda, N.R., Rangayyan, R., Desautels, J.E.L.,
Gradient and texture analysis for the classification of mammographic masses,
MedImg(19), No. 10, October 2000, pp. 1032-1043.
IEEE Top Reference. 0110
BibRef

Zhen, L.[Lei], Chan, A.K.,
An artificial intelligent algorithm for tumor detection in screening mammogram,
MedImg(20), No. 7, July 2001, pp. 559-567.
IEEE Top Reference. 0110
BibRef

Saha, P.K., Udupa, J.K., Conant, E.F., Chakraborty, D.P., Sullivan, D.,
Breast tissue density quantification via digitized mammograms,
MedImg(20), No. 8, August 2001, pp. 792-803.
IEEE Top Reference. 0110
BibRef

Tosteson, T.D., Pogue, B.W., Demidenko, E., McBride, T.O., Paulsen, K.D.,
Confidence maps and confidence intervals for near infrared images in breast cancer,
MedImg(18), No. 12, December 1999, pp. 1188-1193.
IEEE Top Reference. 0110
BibRef

Sahiner, B., Petrick, N., Chan, H.P.[Heang-Ping], Hadjiiski, L.M., Paramagul, C., Helvie, M.A., Gurcan, M.N.,
Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization,
MedImg(20), No. 12, December 2001, pp. 1275-1284.
IEEE Top Reference. 0201
BibRef

Hadjiiski, L.M., Sahiner, B., Chan, H.P.[Heang-Ping], Petrick, N., Helvie, M.A.,
Classification of malignant and benign masses based on hybrid ART2LDA approach,
MedImg(18), No. 12, December 1999, pp. 1178-1187.
IEEE Top Reference. 0110
BibRef

Hatanaka, Y., Hara, T., Fujita, H., Kasai, S., Endo, T.[Tokiko], Iwase, T.,
Development of an automated method for detecting mammographic masses with a partial loss of region,
MedImg(20), No. 12, December 2001, pp. 1209-1214.
IEEE Top Reference. 0201
BibRef

Mudigonda, N.R., Rangayyan, R.M., Desautels, J.E.L.,
Detection of breast masses in mammograms by density slicing and texture flow-field analysis,
MedImg(20), No. 12, December 2001, pp. 1215-1227.
IEEE Top Reference. 0201
BibRef

Sajda, P., Spence, C.D.[Clay Douglas], Pearson, J.,
Learning contextual relationships in mammograms using a hierarchical pyramid neural network,
MedImg(21), No. 3, March 2002, pp. 239-250.
IEEE Top Reference. 0205
BibRef

Spence, C.D.[Clay Douglas], Parra, L.C.[Lucas C.], Sajda, P.,
Detection, Synthesis and Compression in Mammographic Image Analysis with a Hierarchical Image Probability Model,
MMBIA01(xx-yy). 0110
BibRef
Earlier:
Hierarchical Image Probability (HIP) Models,
ICIP00(Vol III: 320-323).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Scholz, B.,
Towards virtual electrical breast biopsy: Space-frequency music for trans-admittance data,
MedImg(21), No. 6, June 2002, pp. 588-595.
IEEE Top Reference. 0208
BibRef

Kerner, T.E., Paulsen, K.D., Hartov, A., Soho, S.K., Poplack, S.P.,
Electrical impedance spectroscopy of the breast: Clinical imaging results in 26 subjects,
MedImg(21), No. 6, June 2002, pp. 638-645.
IEEE Top Reference. 0208
BibRef

Baeg, S.[Soon], Kehtarnavaz, N.[Nasser],
Classification of breast mass abnormalities using denseness and architectural distortion,
ELCVIA(1), No. 1, August 2002, pp. 1-20.
WWW Version. 0208
BibRef

Sentelle, S., Sentelle, C., Sutton, M.A.,
Multiresolution-Based Segmentation of Calcifications for the Early Detection of Breast Cancer,
RealTimeImg(8), No. 3, June 2002, pp. 237-252.
WWW Version. 0208
BibRef

Blot, L.[Lilian], Davis, A.[Anne], Holubinka, M.[Mike], Martí, R.[Robert], Zwiggelaar, R.[Reyer],
Automated Quality Assurance Applied to Mammographic Imaging,
JASP(2002), No. 7, July 2002, pp. 736-745. 0208
BibRef

Marti, R., Zwiggelaar, R., Rubin, C.M.E.,
Tracking Mammographic Structures Over Time,
BMVC01(Poster Session 1).
HTML Version. University of Portsmouth 0110
BibRef

Zwiggelaar, R., Parr, T.C., and Taylor, C.J.,
Finding Orientated Line Patterns in Digital Mammographic Images,
BMVC96(Applications). 9608
University of Manchester BibRef

Zwiggelaar, R.,
Separating Background Texture and Image Structure in Mammograms,
BMVC99(Posters/Exhibition/Demos).
PDF Version. BibRef 9900

Zwiggelaar, R., Astley, S.M., Boggis, C.R.M., Taylor, C.J.,
Linear Structures in Mammographic Images: Detection and Classification,
MedImg(23), No. 9, September 2004, pp. 1077-1086.
IEEE Abstract. IEEE Top Reference. 0409
BibRef

Astley, S.M., Taylor, C.J.,
Combining cues for mammographic abnormalities,
BMVC90(xx-yy).
PDF Version. 9009
BibRef

Parr, T.C., Zwiggelaar, R., Taylor, C.J., Astley, S.M., Boggis, C.R.M.,
Detecting Stellate Lesions in Mammograms via Statistical Models,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Bagui, S.C.[Subhash C.], Bagui, S.[Sikha], Pal, K.[Kuhu], Pal, N.R.[Nikhil R.],
Breast cancer detection using rank nearest neighbor classification rules,
PR(36), No. 1, January 2003, pp. 25-34.
WWW Version. 0210
BibRef

Rocha Ferreira, C.B.[Cristiane Bastos], Borges, D.L.[Díbio Leandro],
Analysis of mammogram classification using a wavelet transform decomposition,
PRL(24), No. 7, April 2003, pp. 973-982.
HTML Version. 0301
BibRef

El Naqa, I., Yang, Y.Y.[Yong-Yi], Wernick, M.N., Galatsanos, N.P., Nishikawa, R.M.,
A support vector machine approach for detection of microcalcifications,
MedImg(21), No. 12, December 2002, pp. 1552-1563.
IEEE Top Reference. 0301
BibRef
Earlier:
A support vector machine approach for detection of microcalcifications in mammograms,
ICIP02(II: 953-956).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

El Naqa, I., Yang, Y., Galatsanos, N.P., Nishikawa, R.M., Wernick, M.N.,
A Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital Mammography,
MedImg(23), No. 10, October 2004, pp. 1233-1244.
IEEE Abstract. IEEE Top Reference. 0410
BibRef

El Naqa, I., Yang, Y.Y.[Yong-Yi], Galatsanos, N.P., Wernick, M.N.,
Content-based image retrieval for digital mammography,
ICIP02(III: 141-144).
IEEE Abstract. IEEE Top Reference. 0210
BibRef
Earlier: A1, A4, A2, A3:
Image Retrieval Based on Similarity Learning,
ICIP00(Vol III: 722-725).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Wei, L., Yang, Y., Nishikawa, R.M., Jiang, Y.,
A Study on Several Machine-Learning Methods for Classification of Malignant and Benign Clustered Microcalcifications,
MedImg(24), No. 3, March 2005, pp. 371-380.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Wei, L., Yang, Y., Nishikawa, R.M., Wernick, M.N., Edwards, A.,
Relevance Vector Machine for Automatic Detection of Clustered Microcalcifications,
MedImg(24), No. 10, October 2005, pp. 1278-1285.
IEEE DOI Link 0510
BibRef

Wei, L.Y.[Li-Yang], Yang, Y.Y.[Yong-Yi], Nishikawa, R.M.,
Relevance Vector Machine Learning for Detection of Microcalcifications in Mammograms,
ICIP05(I: 9-12).
IEEE DOI Link 0512
BibRef

Wei, L.Y.[Li-Yang], Yang, Y.Y.[Yong-Yi], Nishikawa, R.M., Wernick, M.N.,
Mammogram Retrieval by Similarity Learning from Experts,
ICIP06(2517-2520). 0610

IEEE DOI Link BibRef

de Santo, M.[Massimo], Molinara, M.[Mario], Tortorella, F.[Francesco], Vento, M.[Mario],
Automatic classification of clustered microcalcifications by a multiple expert system,
PR(36), No. 7, July 2003, pp. 1467-1477.
WWW Version. 0304
BibRef

de Vito, S., Tortorella, F., Vento, M.,
C: Automatic classification of clustered microcalcifications by a multiple expert system,
CIAP99(464-469).
IEEE DOI Link 9909
BibRef

Lemaur, G., Drouiche, K., DeConinck, J.,
Highly regular wavelets for the detection of clustered microcalcifications in mammograms,
MedImg(22), No. 3, March 2003, pp. 393-401.
IEEE Abstract. IEEE Top Reference. 0306
BibRef

Duchesnay, E.[Edouard], Montois, J.J.[Jean-Jacques], Jacquelet, Y.[Yann],
Cooperative agents society organized as an irregular pyramid: A mammography segmentation application,
PRL(24), No. 14, October 2003, pp. 2435-2445.
WWW Version. 0307
BibRef

Penedo, M., Pearlman, W.A., Tahoces, P.G., Souto, M., Vidal, J.J.,
Region-based wavelet coding methods for digital mammography,
MedImg(22), No. 10, October 2003, pp. 1288-1296.
IEEE Abstract. IEEE Top Reference. 0310
BibRef
And: Correction: MedImg(22), No. 12, December 2003, pp. 1575-1575.
IEEE Abstract. IEEE Top Reference. 0401
BibRef
Earlier:
Embedded wavelet region-based coding methods applied to digital mammography,
ICIP03(III: 197-200).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Cheng, H.D., Cai, X.P.[Xiao-Peng], Chen, X.W.[Xiao-Wei], Hu, L.M.[Li-Ming], Lou, X.[Xueling],
Computer-aided detection and classification of microcalcifications in mammograms: a survey,
PR(36), No. 12, December 2003, pp. 2967-2991.
WWW Version. 0310
Survey, Mammograms. BibRef

Cheng, H.D., Wang, J.L.[Jing-Li], Shi, X.J.[Xiang-Jun],
Microcalcification detection using fuzzy logic and scale space approaches,
PR(37), No. 2, February 2004, pp. 363-375.
WWW Version. 0311
BibRef

McLoughlin, K.J., Bones, P.J., Karssemeijer, N.,
Noise Equalization for Detection of Microcalcification Clusters in Direct Digital Mammogram Images,
MedImg(23), No. 3, March 2004, pp. 313-320.
IEEE Abstract. IEEE Top Reference. 0403
BibRef

Soltanian-Zadeh, H.[Hamid], Rafiee-Rad, F.[Farshid], Pourabdollah-Nejad, S.[Siamak],
Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms,
PR(37), No. 10, October 2004, pp. 1973-1986.
WWW Version. 0409
BibRef

Joo, S., Yang, Y.S., Moon, W.K., Kim, H.C.,
Computer-Aided Diagnosis of Solid Breast Nodules: Use of an Artificial Neural Network Based on Multiple Sonographic Features,
MedImg(23), No. 10, October 2004, pp. 1292-1300.
IEEE Abstract. IEEE Top Reference. 0410
BibRef

Raimondo, F., Gavrielides, M.A., Karayannopoulou, G., Lyroudia, K., Pitas, I., Kostopoulos, I.,
Automated Evaluation of Her-2/neu Status in Breast Tissue From Fluorescent In Situ Hybridization Images,
IP(14), No. 9, September 2005, pp. 1288-1299.
IEEE DOI Link 0508
BibRef

Richard, F.J.P.[Frédéric J.P.],
A comparative study of markovian and variational image-matching techniques in application to mammograms,
PRL(26), No. 12, September 2005, pp. 1819-1829.
WWW Version. 0508
BibRef

Sheshadri, H.S., Kandaswamy, A.,
Detection of Breast Cancer Tumor Based on Morphological Watershed Algorithm,
GVIP(05), No. V5, 2005, pp. 17-21
HTML Version. BibRef 0500

Thangavel, K., Karnan, M., Sivakumar, R., Mohideen, A.K.[A. Kaja],
Automatic Detection of Microcalcification in Mammograms: A Review,
GVIP(05), No. V5, 2005, pp. 31-61
HTML Version. BibRef 0500

Thangavel, K., Karnan, M.,
Meta-Heuristic Algorithms for Automatic Detection of Microcalcifications In Digital Mammograms,
GVIP(05), No. V7, 2005, pp. xx-yy
HTML Version. BibRef 0500

Wirth, M.A., Nikitenko, D., Lyon, J.,
Segmentation of the Breast Region in Mammograms Using a Rule-Based Fuzzy Reasoning Algorithm,
GVIP(05), No. V2, January 2005, pp. 45-54
HTML Version. BibRef 0501

Wirth, M.A.[Michael A.], Nikitenko, D.[Dennis],
Suppression of Stripe Artifacts in Mammograms Using Weighted Median Filtering,
ICIAR05(966-973).
Springer DOI Link 0509
BibRef

Wirth, M.A., Stapinski, A.,
Segmentation of the breast region in mammograms using snakes,
CRV04(385-392).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Thangavel, K., Karnan, M., Pethalakshmi, A.,
Performance Analysis of Rough Reduct Algorithms in Mammogram,
GVIP(05), No. V8, 2005, pp. 13-21.
HTML Version. BibRef 0500

Guo, H.[Hong], Nandi, A.K.[Asoke K.],
Breast cancer diagnosis using genetic programming generated feature,
PR(39), No. 5, May 2006, pp. 980-987.
WWW Version. 0604
Feature extraction; Genetic programming; Fisher discriminant analysis; Pattern recognition See also Feature generation using genetic programming with application to fault classification. BibRef

Dominguez, A.R.[Alfonso Rojas], Nandi, A.K.[Asoke K.],
Toward breast cancer diagnosis based on automated segmentation of masses in mammograms,
PR(42), No. 6, June 2009, pp. 1138-1148.
Elsevier DOI Link
WWW Version. 0902
Breast cancer; Breast masses; Mammography; Image analysis BibRef

Cheng, H.D., Shi, X.J., Min, R., Hu, L.M., Cai, X.P., Du, H.N.,
Approaches for automated detection and classification of masses in mammograms,
PR(39), No. 4, April 2006, pp. 646-668.
WWW Version. Mass; CAD; Wavelet; Fuzzy logic; Contrast enhancement; Feature selection 0604
BibRef

Adiga, U., Malladi, R., Fernandez-Gonzalez, R., Ortiz de Solorzano, C.,
High-Throughput Analysis of Multispectral Images of Breast Cancer Tissue,
IP(15), No. 8, August 2006, pp. 2259-2268.
IEEE DOI Link 0606
BibRef

Rashed, E.A.[Essam A.], Ismail, I.A.[Ismail A.], Zaki, S.I.[Sherif I.],
Multiresolution mammogram analysis in multilevel decomposition,
PRL(28), No. 2, 15 January 2007, pp. 286-292.
WWW Version. 0611
Digital mammogram; Discrete wavelets transform; Features extraction; Breast cancer diagnosis BibRef

Hassanien, A.E.[Aboul Ella],
Fuzzy rough sets hybrid scheme for breast cancer detection,
IVC(25), No. 2, February 2007, pp. 172-183.
WWW Version. 0701
Rough sets; Fuzzy image processing; Mammograms; Classification; Feature extraction; Rule and reduct generation; Similarity measure; Gray-level co-occurrence matrices BibRef

Eltonsy, N.H., Tourassi, G.D., Elmaghraby, A.S.,
A Concentric Morphology Model for the Detection of Masses in Mammography,
MedImg(26), No. 6, June 2007, pp. 880-889.
IEEE DOI Link 0706
BibRef

Timp, S., Varela, C., Karssemeijer, N.,
Temporal Change Analysis for Characterization of Mass Lesions in Mammography,
MedImg(26), No. 7, July 2007, pp. 945-953.
IEEE DOI Link 0707
BibRef

Alemán-Flores, M.[Miguel], Álvarez-León, L.[Luis], Caselles, V.[Vicent],
Texture-Oriented Anisotropic Filtering and Geodesic Active Contours in Breast Tumor Ultrasound Segmentation,
JMIV(28), No. 1, May 2007, pp. 81-97.
Springer DOI Link 0710
BibRef

Alemán-Flores, M.[Miguel], Álvarez-León, L.[Luis],
Video Segmentation Through Multiscale Texture Analysis,
ICIAR04(II: 339-346).
WWW Version. 0409
BibRef
Earlier:
Texture Classification through Multiscale Orientation Histogram Analysis,
ScaleSpace03(479-493).
HTML Version. 0310
BibRef

Cao, A.[Aize], Song, Q.[Qing], Yang, X.[Xulei],
Robust information clustering incorporating spatial information for breast mass detection in digitized mammograms,
CVIU(109), No. 1, January 2008, pp. 86-96.
WWW Version. 0801
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Cao, A.[Aize], Song, Q.[Qing], Yang, X.[Xulei], Wang, L.[Lei],
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Castella, C.[Cyril], Abbey, C.K.[Craig K.], Eckstein, M.P.[Miguel P.], Verdun, F.R.[Francis R.], Kinkel, K.[Karen], Bochud, F.O.[François O.],
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Raundahl, J., Loog, M., Pettersen, P., Tanko, L.B., Nielsen, M.,
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MedImg(27), No. 8, August 2008, pp. 1054-1060.
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Egorov, V., Sarvazyan, A.P.,
Mechanical Imaging of the Breast,
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See also Prostate Mechanical Imaging: 3-D Image Composition and Feature Calculations. BibRef

Kao, T.J., Boverman, G., Kim, B.S., Isaacson, D., Saulnier, G.J., Newell, J.C., Choi, M.H., Moore, R.H., Kopans, D.B.,
Regional Admittivity Spectra With Tomosynthesis Images for Breast Cancer Detection: Preliminary Patient Study,
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Schaefer, G.[Gerald], Zavisek, M.[Michal], Nakashima, T.[Tomoharu],
Thermography based breast cancer analysis using statistical features and fuzzy classification,
PR(42), No. 6, June 2009, pp. 1133-1137.
Elsevier DOI Link
WWW Version. 0902
BibRef
Earlier: A1, A3, A2:
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ISVC08(I: 753-762).
Springer DOI Link 0812
Cancer diagnosis; Breast cancer; Medical thermography; Image analysis; Pattern classification BibRef

Wei, L.Y.[Li-Yang], Yang, Y.Y.[Yong-Yi], Nishikawa, R.M.[Robert M.],
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PR(42), No. 6, June 2009, pp. 1126-1132.
Elsevier DOI Link
WWW Version. 0902
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Earlier: A2, A1, A3: ICIP07(V: 1-4).
IEEE DOI Link 0709
Microcalcification classification; Adaptive support vector machine; Image retrieval BibRef

Grim, J., Somol, P., Haindl, M., Danes, J.,
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IP(18), No. 4, April 2009, pp. 765-773.
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Haindl, M.[Michal], Mikes, S.[Stanislav],
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Verma, B.[Brijesh], McLeod, P.[Peter], Klevansky, A.[Alan],
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms,
PR(42), No. 9, September 2009, pp. 1845-1852.
Elsevier DOI Link
WWW Version. 0905
Pattern classification; Neural networks; Clustering algorithms BibRef

Cao, M., Liang, Y., Shen, C., Miller, K.D., Stantz, K.M.,
Developing DCE-CT to Quantify Intra-Tumor Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype,
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Masmoudi, H., Hewitt, S.M., Petrick, N., Myers, K.J., Gavrielides, M.A.,
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Yoon, S.[Sejong], Kim, S.[Saejoon],
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Digital mammography; CADx; Feature selection; SVM-RFE; Mutual information; Correlation BibRef

Ross, S., Ejofodomi, O., Jendoubi, A., Chouikha, M., Lo, B., Wang, P., Zeng, J.C.[Jian-Chao],
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Khademi, A.[April], Sahba, F.[Farhang], Venetsanopoulos, A.[Anastasios], Krishnan, S.[Sridhar],
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Chang, T.T.[Tian-Tian], Feng, J.[Jun], Liu, H.W.[Hong-Wei], Ip, H.H.S.[Horace H. S.],
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Tao, Y.[Yimo], Xuan, J.H.[Jian-Hua], Freedman, M.T.[Matthew T.], Chepko, G.[Gloria], Shields, P.G.[Peter G.], Wang, Y.[Yue],
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Wu, Z.Q., Jiang, J., Peng, Y.H.,
Effective features based on normal linear structures for detecting microcalcifications in mammograms,
ICPR08(1-4).
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Cheikhrouhou, I., Djemal, K., Sellami, D., Maaref, H., Derbel, N.,
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IPTA08(1-5).
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Philip, R.C.[Rohit C.], Rodriguez, J.J.[Jeffrey J.], Gillies, R.J.[Robert J.],
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Meyer-Baese, A., Lange, O., Schlossbauer, T., Wismuller, A.,
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Mencattini, A.[Arianna], Rabottino, G.[Giulia], Salmeri, M.[Marcello], Lojacono, R.[Roberto], Colini, E.[Emanuele],
Breast Mass Segmentation in Mammographic Images by an Effective Region Growing Algorithm,
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Veni, G., Regentova, E.E., Zhang, L.,
Detection of Clustered Microcalcifications with SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial Filters,
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Jin, Y.W.[Yuan-Wei], Jiang, Y.[Yi], Moura, J.M.F.[Jose M.F.],
Time Reversal Beamforming for Microwave Breast Cancer Detection,
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Wang, Y.[Ying], Gao, X.B.[Xin-Bo], Li, J.[Jie],
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de Oliveira Martins, L.[Leonardo], Junior, G.B.[Geraldo Braz], da Silva, E.C.[Erick Corrêa], Silva, A.C.[Aristófanes Corrêa], de Paiva, A.C.[Anselmo Cardoso],
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Hernández-Cisneros, R.R.[Rolando R.], Terashima-Marín, H.[Hugo], Conant-Pablos, S.E.[Santiago E.],
Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms,
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Oporto-Díaz, S.[Samuel], Hernández-Cisneros, R.R.[Rolando R.], Terashima-Marín, H.[Hugo],
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Moayedi, F.[Fatemeh], Azimifar, Z.[Zohreh], Boostani, R.[Reza], Katebi, S.[Serajodin],
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Das, A.[Arpita], Bhattacharya, M.[Mahua],
GA Based Neuro Fuzzy Techniques for Breast Cancer Identification,
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Oliver, A.[Arnau], Lladós, X.[Xavier], Martí, J.[Joan], Martí, R.[Robert], Freixenet, J.[Jordi],
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Kostopoulos, S.[Spiros], Cavouras, D.[Dionisis], Daskalakis, A.[Antonis], Kalatzis, I.[Ioannis], Bougioukos, P.[Panagiotis], Kagadis, G.C.[George C.], Ravazoula, P.[Panagiota], Nikiforidis, G.[George],
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Sánchez-Ferrero, G.V.[Gonzalo V.], Arribas, J.I.[Juan Ignacio],
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Hadley, E.M.[Edward M.], Denton, E.R.E.[Erika R. E.], Pont, J.[Josep], Pérez, E.[Elsa], Zwiggelaar, R.[Reyer],
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Georgsson, F.[Fredrik], Jansson, S.[Stefan], Olsén, C.[Christina],
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Foggia, P., Guerriero, M., Percannella, G., Sansone, C., Tufano, F., Vento, M.,
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Ribeiro da Silva, V.[Valdeci], Cardoso de Paiva, A.[Anselmo], Corrêa Silva, A.[Aristófanes], Muniz de Oliveira, A.C.[Alexandre Cesar],
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ICIAR06(II: 570-579).
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Roller, D.[Dieter], Lampasona, C.[Constanza],
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Ketsetzis, G.[Georgios], Brady, M.[Michael],
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Bosch, A.[Anna], Munoz, X.[Xavier], Oliver, A.[Arnau], Marti, J.[Joan],
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Lee, S.[Sarah], Stathaki, T.[Tania],
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Kim, H.J.[Hyung-Jun], Kim, W.H.[Won-Ha],
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CAIP05(256).
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Chen, Y.[Yuan], Chang, C.I.[Chein-I],
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ICIP04(V: 3335-3338).
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Yuan, X.[Xin], Shi, P.C.[Peng-Cheng],
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ICIP04(V: 2953-2956).
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d'Elia, C., Marrocco, C., Molinara, M., Poggi, G., Scarpa, G., Tortorella, F.,
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Algorithms for Detecting Clusters of Microcalcifications in Mammograms,
CIAP05(884-891).
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Vitulano, S.[Sergio], Casanova, A.[Andrea],
The Role of Entropy: Mammogram Analysis,
ICIAR08(xx-yy).
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Vitulano, S.[Sergio], Casanova, A.[Andrea], Savona, V.[Valentina],
The Spiral Method Applied to the Study of the Microcalcifications in Mammograms,
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Bornefalk, H.[Hans],
Use of Quadrature Filters for Detection of Stellate Lesions in Mammograms,
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Mohammed, S., Yang, L.[Lei], Fiaidhi, J.,
A dynamic fuzzy classifier for detecting abnormalities in mammograms,
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Tweed, T., Miguet, S.,
Automatic detection of regions of interest in mammographies based on a combined analysis of texture and histogram,
ICPR02(II: 448-452).
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Gulsrud, T.O.[Thor Ole], Husøy, J.H.[John Håkon],
Detection of clustered microcalcifications in compressed mammograms,
SCIA01(P-W3A). 0206
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Optimal Filter for Detection of Clustered Microcalcifications,
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Sakellaropoulos, P., Costaridou, L., Panayiotakis, G.,
Integrating Wavelet-based Mammographic Image Visualisation on a Web Browser,
ICIP01(II: 873-876).
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Christoyianni, I., Dermatas, E., Kokkinakis, G.,
Automatic Detection of Abnormal Tissue in Mammography,
ICIP01(II: 877-880).
IEEE Abstract. IEEE Top Reference. 0108
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Quadrades, S., Sacristán, A.,
Automated Extraction of Microcalcifications BI-Rads Numbers in Mammograms,
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Rodriguez-Sánchez, R., García, J.A., Fdez-Valdivia, J., Fdez-Vidal, X.R.[Xose R.],
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HTML Version. 0009
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Bovis, K., Singh, S.,
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ICPR00(Vol II: 267-270).
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Cordella, L.P., Tortorella, F., Vento, M.,
Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms,
ICPR00(Vol IV: 324-327).
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Bhangale, T., Desai, U., Sharma, U.,
An Unsupervised Scheme for Detection of Microcalcifications on Mammograms,
ICIP00(Vol I: 184-187).
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McGarry, G., Deriche, M.,
Mammographic Image Segmentation Using a Tissue-mixture Model and Markov Random Fields,
ICIP00(Vol III: 416-419).
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Banerjee, A., Chellappa, R.,
Tumor Detection in Digital Mammograms,
ICIP00(Vol III: 432-435).
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Caputo, B., and Gigante, G.E.,
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Unser, M., van Hamme, H., de Muynck, P., van Denhaute, E., Cornelis, J.,
Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection,
CVPR88(592-596).
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Sari-Sarraf, H., and Gleason, S.S.,
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Morrison, S.[Steven], Linnett, L.M.[Laurie M.],
A Model Based Approach to Object Detection in Digital Mammography,
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Jiang, H.[Hao], Tiu, W.[Wilson], Yamamoto, S.[Shinji], Iisaku, S.I.[Shun-Ichi],
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ICIP97(III: 520-523).
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CIAP97(II: 396-403).
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Dengler, J., Guckes, M.,
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mammography application BibRef

Varga, M.J., de Muynck, P.,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammograms, Image Enhancement .