20.7.1.3 Mammograms, Ultrasound

Goldberg, V.[Victor],
Method and apparatus for diagnosis of breast tumors,
US_Patent5,260,871, Nov 9, 1993
WWW Version. BibRef 9311

Fatemi, M., Wold, L.E., Alizad, A., Greenleaf, J.F.,
Vibro-acoustic tissue mammography,
MedImg(21), No. 1, January 2002, pp. 1-8.
IEEE Top Reference. 0202
BibRef

Urban, M.W., Silva, G.T., Fatemi, M., Greenleaf, J.F.,
Multifrequency Vibro-Acoustography,
MedImg(25), No. 10, October 2006, pp. 1284-1295.
IEEE DOI Link 0609
BibRef

Alizad, A., Fatemi, M., Wold, L.E., Greenleaf, J.F.,
Performance of Vibro-Acoustography in Detecting Microcalcifications in Excised Human Breast Tissue: A Study of 74 Tissue Samples,
MedImg(23), No. 3, March 2004, pp. 307-312.
IEEE Abstract. 0403
BibRef

Aguilo, M.A., Aquino, W., Brigham, J.C., Fatemi, M.,
An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics,
MedImg(29), No. 4, April 2010, pp. 1012-1021.
IEEE DOI Link 1003
BibRef
And: Corrections: MedImg(29), No. 6, June 2010, pp. 1331-1331.
IEEE DOI Link 1007
BibRef

Madabhushi, A., Metaxas, D.N.,
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions,
MedImg(22), No. 2, February 2003, pp. 155-169.
IEEE Top Reference. 0304
BibRef

Gefen, S., Tretiak, O.J., Piccoli, C.W., Donohue, K.D., Petropulu, A.P., Shankar, P.M., Dumane, V.A., Huang, L., Kutay, M.A., Genis, V., Forsberg, F., Reid, J.M., Goldberg, B.B.,
ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis,
MedImg(22), No. 2, February 2003, pp. 170-177.
IEEE Top Reference. 0304
BibRef

Oelze, M.L., O'Brien, W.D., Blue, J.P., Zachary, J.F.,
Differentiation and Characterization of Rat Mammary Fibroadenomas and 4T1 Mouse Carcinomas Using Quantitative Ultrasound Imaging,
MedImg(23), No. 6, June 2004, pp. 764-771.
IEEE Abstract. 0406
BibRef

Abbey, C.K., Zemp, R.J., Liu, J., Lindfors, K.K., Insana, M.F.,
Observer Efficiency in Discrimination Tasks Simulating Malignant and Benign Breast Lesions Imaged With Ultrasound,
MedImg(25), No. 2, February 2006, pp. 198-209.
IEEE DOI Link 0602
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

Tang, A.M., Kacher, D.F., Lam, E.Y., Wong, K.K., Jolesz, F.A., Yang, E.S.,
Simultaneous Ultrasound and MRI System for Breast Biopsy: Compatibility Assessment and Demonstration in a Dual Modality Phantom,
MedImg(27), No. 2, February 2008, pp. 247-254.
IEEE DOI Link 0802
BibRef

Irwin, M.R., Downey, D.B., Gardi, L., Fenster, A.,
Registered 3-D Ultrasound and Digital Stereotactic Mammography for Breast Biopsy Guidance,
MedImg(27), No. 3, March 2008, pp. 391-401.
IEEE DOI Link 0803
BibRef

Drukker, K., Sennett, C.A., Giger, M.L.,
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound,
MedImg(28), No. 1, January 2009, pp. 122-128.
IEEE DOI Link 0901
BibRef

Yeh, C.K.[Chih-Kuang], Chen, Y.S.[Yung-Sheng], Fan, W.C.[Wei-Che], Liao, Y.Y.[Yin-Yin],
A disk expansion segmentation method for ultrasonic breast lesions,
PR(42), No. 5, May 2009, pp. 596-606.
Elsevier DOI Link
WWW Version. 0902
Speckle noise; Lesion contour; Disk expansion method; Computer-aided diagnosis (CAD) BibRef

Liu, B.[Bo], Cheng, H.D., Huang, J.H.[Jian-Hua], Tian, J.W.[Jia-Wei], Tang, X.L.[Xiang-Long], Liu, J.[Jiafeng],
Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images,
PR(43), No. 1, January 2010, pp. 280-298,.
Elsevier DOI Link
WWW Version. 0909
Texture classification; Support vector machine (SVM); Computer aided diagnosis (CAD); Breast ultrasound (BUS) imaging BibRef

Liu, B.[Bo], Cheng, H.D., Huang, J.H.[Jian-Hua], Tian, J.W.[Jia-Wei], Tang, X.L.[Xiang-Long], Liu, J.[Jiafeng],
Probability density difference-based active contour for ultrasound image segmentation,
PR(43), No. 6, June 2010, pp. 2028-2042.
Elsevier DOI Link
WWW Version. 1003
Image segmentation; Active contour; Probability difference; Level set; Breast ultrasound (bus) imaging BibRef

Cheng, H.D., Shan, J.[Juan], Ju, W.[Wen], Guo, Y.H.[Yan-Hui], Zhang, L.[Ling],
Automated breast cancer detection and classification using ultrasound images: A survey,
PR(43), No. 1, January 2010, pp. 299-317,.
Elsevier DOI Link
WWW Version. 0909
computer-aided diagnosis; Automated breast cancer detection and classification; Ultrasound imaging; Feature extraction and selection; Classifiers BibRef

Takemura, A., Shimizu, A., Hamamoto, K.,
Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection,
MedImg(29), No. 3, March 2010, pp. 598-609.
IEEE DOI Link 1003
BibRef

Rodtook, A.[Annupan], Makhanov, S.S.[Stanislav S.],
Continuous force field analysis for generalized gradient vector flow field,
PR(43), No. 10, October 2010, pp. 3522-3538.
Elsevier DOI Link
WWW Version. 1007
Gradient vector flow; Snakes; Segmentation; Ultrasound image; Breast tumor BibRef

Chucherd, S.[Sirikan], Rodtook, A.[Annupan], Makhanov, S.S.[Stanislav S.],
Phase Portrait Analysis for Multiresolution Generalized Gradient Vector Flow,
IEICE(E93-D), No. 10, October 2010, pp. 2822-2835.
WWW Version. 1011
BibRef

Bocchi, L.[Leonardo], Rogai, F.[Francesco],
Segmentation of Ultrasound Breast Images: Optimization of Algorithm Parameters,
EvoIASP11(163-172).
Springer DOI Link 1104
BibRef

Singh, M.S.[M. Suheshkumar], Rajan, K., Vasu, R.M., Sijeesh, K.,
A novel two sources ultrasound modulated optical tomographic system for screening breast cancer through elasticity characterization,
ICIP09(669-672).
IEEE DOI Link 0911
BibRef

Shan, J.[Juan], Wang, Y.X.[Yu-Xuan], Cheng, H.D.,
Completely automatic segmentation for breast ultrasound using multiple-domain features,
ICIP10(1713-1716).
IEEE DOI Link 1009
BibRef
Earlier: A1, A3, A2:
A novel automatic seed point selection algorithm for breast ultrasound images,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Ponomaryov, V.[Volodymyr], Sanchez-Ramirez, J.L.[Jose Luis], Juarez-Landin, C.[Cristina],
Optimal Wavelet Filters Selection for Ultrasound and Mammography Compression,
CIARP08(62-69).
Springer DOI Link 0809
BibRef

Ye, Z.[Zhen], Suri, J.[Jasjit], Sun, Y.[Yajie], Janer, R.,
Four Image Interpolation Techniques for Ultrasound Breast Phantom Data Acquired Using Fischer's Full Field Digital Mammography and Ultrasound System (FFDMUS): A Comparative Approach,
ICIP05(II: 1238-1241).
IEEE DOI Link 0512
BibRef

Huang, Y.L.[Yu-Len], Chen, D.R.[Dar-Ren], Liu, Y.K.[Ya-Kuang],
Breast cancer diagnosis using image retrieval for different ultrasonic systems,
ICIP04(V: 2957-2960).
IEEE DOI Link 0505
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Mammograms, Three Dimensional Analysis, Registration .