20.7.2.1 Pulmonary Nodules, Lung Nodules

Engvall, J.L.[John L.], Greenberg, S.D., Spjut, H.J., Estrada, R., Subach, J., Kimzey, S.L., King, J.F., DiTrapani, P.M.,
Development of a mathematical model to analyze color and density as discriminant features for pulmonary squamous epithelial cells,
PR(13), No. 1, 1981, pp. 37-47.
WWW Version. 0309
BibRef

Lin, J.S.[Jyh-Shyan], Lo, S.C.B., Hasegawa, A., Freedman, M.T., Mun, S.K.,
Reduction of false positives in lung nodule detection using a two-level neural classification,
MedImg(15), No. 2, April 1996, pp. 206-217.
IEEE Top Reference. 0203
BibRef

Lee, Y.B.[Yong-Bum], Hara, T., Fujita, H., Itoh, S., Ishigaki, T.,
Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique,
MedImg(20), No. 7, July 2001, pp. 595-604.
IEEE Top Reference. 0110
BibRef

Brown, M.S., McNitt-Gray, M.F., Goldin, J.G., Suh, R.D., Sayre, J.W., Aberle, D.R.,
Patient-specific models for lung nodule detection and surveillance in CT images,
MedImg(20), No. 12, December 2001, pp. 1242-1250.
IEEE Top Reference. 0201
BibRef

Kostis, W.J., Reeves, A.P., Yankelevitz, D.F., Henschke, C.I.,
Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images,
MedImg(22), No. 10, October 2003, pp. 1259-1274.
IEEE Abstract. 0310
BibRef

Paik, D.S., Beaulieu, C.F., Rubin, G.D., Acar, B., Jeffrey, R.B., Yee, J., Dey, J., Napel, S.,
Surface Normal Overlap: A Computer-Aided Detection Algorithm with Application to Colonic Polyps and Lung Nodules in Helical CT,
MedImg(23), No. 6, June 2004, pp. 661-675.
IEEE Abstract. 0406
BibRef

Okada, K.[Kazunori], Comaniciu, D.[Dorin], Krishnan, A.[Arun],
Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT,
MedImg(24), No. 3, March 2005, pp. 409-423.
IEEE Abstract. 0501
BibRef
Earlier:
Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization,
CVPR04(I: 594-601).
IEEE Abstract. 0408
BibRef

Okada, K.[Kazunori], Akdemir, U.[Umut], Krishnan, A.[Arun],
Blob Segmentation Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation,
CVPR05(II: 437-444).
IEEE DOI Link 0507
BibRef

Okada, K.[Kazunori], Comaniciu, D.[Dorin], Dalal, N.[Navneet], Krishnan, A.[Arun],
A Robust Algorithm for Characterizing Anisotropic Local Structures,
ECCV04(Vol I: 549-561).
WWW Version. 0405
Movies:
WWW Version. BibRef

Okada, K.[Kazunori], Singh, M.[Maneesh], Ramesh, V.[Visvanathan],
Prior-Constrained Scale-Space Mean Shift,
BMVC06(II:829).
PDF Version. 0609
Semi-automatic 3D segmentation of lung nodules in CT data. BibRef

Suzuki, K., Li, F., Sone, S., Doi, K.,
Computer-Aided Diagnostic Scheme for Distinction Between Benign and Malignant Nodules in Thoracic Low-Dose CT by Use of Massive Training Artificial Neural Network,
MedImg(24), No. 9, September 2005, pp. 1138-1150.
IEEE DOI Link 0509
BibRef

Agam, G., Armato, III, S.G., Wu, C.,
Vessel Tree Reconstruction in Thoracic CT Scans With Application to Nodule Detection,
MedImg(24), No. 4, April 2005, pp. 486-499.
IEEE Abstract. 0501
BibRef

Reeves, A.P., Chan, A.B., Yankelevitz, D.F., Henschke, C.I., Kressler, B., Kostis, W.J.,
On Measuring the Change in Size of Pulmonary Nodules,
MedImg(25), No. 4, April 2006, pp. 435-450.
IEEE DOI Link 0604
BibRef

Campadelli, P., Casiraghi, E., Artioli, D.,
A Fully Automated Method for Lung Nodule Detection From Postero-Anterior Chest Radiographs,
MedImg(25), No. 12, December 2006, pp. 1588-1603.
IEEE DOI Link 0701
BibRef

Dehmeshki, J., Amin, H., Valdivieso, M., Ye, X.,
Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach,
MedImg(27), No. 4, April 2008, pp. 467-480.
IEEE DOI Link 0804
BibRef

Dehmeshki, J., Ye, X.[Xujiong], Costello, J.,
Shape based region growing using derivatives of 3D medical images: application to semi-automated detection of pulmonary nodules,
ICIP03(I: 1085-1088).
IEEE Abstract. 0312
BibRef

Takizawa, H.[Hotaka], Shigemoto, K.[Kanae], Yamamoto, S.[Shinji], Matsumoto, T.[Tohru], Tateno, Y.[Yukio], Iinuma, T.[Takeshi], Matsumoto, M.[Mitsuomi],
A Recognition Method of Lung Nodule Shadows in X-ray Ct Images Using 3d Object Models,
IJIG(3), No. 4, October 2003, pp. 533-545. 0310
BibRef

El-Baz, A.[Ayman], Gimel'farb, G.L.[Georgy L.], Falk, R.[Robert], El-Ghar, M.A.[Mohamed Abo],
Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer,
PR(42), No. 6, June 2009, pp. 1041-1051.
Elsevier DOI Link
WWW Version. 0902
BibRef
Earlier:
A new approach for automatic analysis of 3D low dose CT images for accurate monitoring the detected lung nodules,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
Earlier:
A New CAD System for Early Diagnosis of Detected Lung Nodules,
ICIP07(II: 461-464).
IEEE DOI Link 0709
BibRef
And:
A Novel Approach for Automatic Follow-Up of Detected Lung Nodules,
ICIP07(V: 501-504).
IEEE DOI Link 0709
Computed tomography; Growth rate estimation; Global registration; Local registration; Segmentation; Pulmonary nodules; Early diagnosis; Lung cancer See also New CAD System for Early Diagnosis of Dyslexic Brains, A. BibRef

El-Baz, A., Sethu, P., Gimel'farb, G.L., Khalifa, F., Elnakib, A., Falk, R., El-Ghar, M.A.[M. Abo],
A new validation approach for the growth rate measurement using elastic phantoms generated by state-of-the-art microfluidics technology,
ICIP10(4381-4384).
IEEE DOI Link 1009
For early diagnosis of pulmonary nodules. BibRef

El-Baz, A.[Ayman], Farag, A.[Aly], Ali, A.M.[Asem M.], Gimel'farb, G.L.[Georgy L.], Casanova, M.[Manuel],
A Framework for Unsupervised Segmentation of Multi-modal Medical Images,
CVAMIA06(120-131).
Springer DOI Link 0605
BibRef

El-Baz, A.[Ayman], Farag, A.[Aly], Gimel'farb, G.L.[Georgy L.], Falk, R.[Robert], El-Ghar, M.A.[Mohamed A.], Eldiasty, T.[Tarek],
A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans,
ICPR06(III: 611-614).
IEEE DOI Link 0609
BibRef

Farag, A., El-Baz, A., Gimel'farb, G.L., Falk, R.,
Detection and recognition of lung nodules in spiral CT images using deformable templates and Bayesian post-classification,
ICIP04(V: 2921-2924).
IEEE DOI Link 0505
BibRef
And:
Detection and recognition of lung abnormalities using deformable templates,
ICPR04(III: 738-741).
IEEE DOI Link 0409
BibRef

van Rikxoort, E.M., de Hoop, B., van de Vorst, S., Prokop, M., van Ginneken, B.,
Automatic Segmentation of Pulmonary Segments From Volumetric Chest CT Scans,
MedImg(28), No. 4, April 2009, pp. 621-630.
IEEE DOI Link 0904
BibRef

Pu, J.T.[Jian-Tao], Leader, J.K., Zheng, B.[Bin], Knollmann, F., Fuhrman, C., Sciurba, F.C., Gur, D.,
A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations,
MedImg(28), No. 5, May 2009, pp. 710-719.
IEEE DOI Link 0905
BibRef

Pu, J.T.[Jian-Tao], Zheng, B., Leader, J.K., Fuhrman, C., Knollmann, F., Klym, A., Gur, D.,
Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting,
MedImg(28), No. 12, December 2009, pp. 1986-1996.
IEEE DOI Link 0912
BibRef

Pu, J.T.[Jian-Tao], Fuhrman, C., Good, W.F., Sciurba, F.C., Gur, D.,
A Differential Geometric Approach to Automated Segmentation of Human Airway Tree,
MedImg(30), No. 2, February 2011, pp. 266-278.
IEEE DOI Link 1102
BibRef

Diciotti, S., Lombardo, S., Coppini, G., Grassi, L., Falchini, M., Mascalchi, M.,
The LoG Characteristic Scale: A Consistent Measurement of Lung Nodule Size in CT Imaging,
MedImg(29), No. 2, February 2010, pp. 397-409.
IEEE DOI Link 1002
BibRef

Wu, D.[Dijia], Lu, L.[Le], Bi, J.[Jinbo], Shinagawa, Y.[Yoshihisa], Boyer, K.L.[Kim L.], Krishnan, A.[Arun], Salganicoff, M.[Marcos],
Stratified learning of local anatomical context for lung nodules in CT images,
CVPR10(2791-2798).
IEEE DOI Link 1006
BibRef

Gavrielides, M.A., Zeng, R.[Rongping], Kinnard, L.M., Myers, K.J., Petrick, N.,
Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study,
MedImg(29), No. 10, October 2010, pp. 1795-1807.
IEEE DOI Link 1011
BibRef

Iyengar, S, Li, X.[Xin], Xu, H.[Huanhuan], Mukhopadhyay, S.[Supratik], Balakrishnan, N., Sawant, A.[Amit], Iyengar, P.[Puneeth],
Toward More Precise Radiotherapy Treatment of Lung Tumors,
Computer(45), No. 1, January 2012, pp. 59-65.
IEEE DOI Link 1201
Model respiratory motion of the tumors to guide radiotherapy. BibRef

Lee, S.L.A., Kouzani, A.Z., Hu, E.J.,
Automated detection of lung nodules in computed tomography images: a review,
MVA(23), No. 1, January 2012, pp. 151-163.
WWW Version. 1201
BibRef

Ballangan, C.[Cherry], Wang, X.[Xiuying], Fulham, M.[Michael], Eberl, S.[Stefan], Feng, D.[Dagan],
Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model,
ICIP11(2173-2176).
IEEE DOI Link 1201
BibRef

Zinoveva, O.[Olga], Zinovev, D.[Dmitriy], Siena, S.A.[Stephen A.], Raicu, D.S.[Daniela S.], Furst, J.[Jacob], Armato, S.G.[Samuel G.],
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation,
ICIAR11(II: 21-30).
Springer DOI Link 1106
BibRef

Farag, A.[Amal], Ali, A.M.[Asem M.], Graham, J.[James], Elhabian, S.Y.[Shireen Y.], Farag, A.A.[Aly A.], Falk, R.[Robert],
Feature-Based Lung Nodule Classification,
ISVC10(III: 79-88).
Springer DOI Link 1011
BibRef

Choi, W.J.[Wook-Jin], Choi, T.S.[Tae-Sun],
Computer-aided detection of pulmonary nodules using genetic programming,
ICIP10(4353-4356).
IEEE DOI Link 1009
BibRef

Farag, A.A.[Amal A.], Graham, J.[James], Elshazly, S.[Salwa], Farag, A.A.[Aly A.],
Statistical modeling of the lung nodules in low dose computed tomography scans of the chest,
ICIP10(4281-4284).
IEEE DOI Link 1009
BibRef

Farag, A.A.[Amal A.], Graham, J.[James], Elshazly, S.[Salwa], Farag, A.A.[Aly A.],
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT,
ICPR10(2588-2591).
IEEE DOI Link 1008
BibRef

Farag, A.A.[Amal A.], Graham, J.[James], Farag, A.A.[Aly A.], Falk, R.[Robert],
Lung Nodule Modeling: A Data-Driven Approach,
ISVC09(I: 347-356).
Springer DOI Link 0911
BibRef

Tolouee, A., Abrishami-Moghaddam, H., Garnavi, R., Forouzanfar, M., Giti, M.,
Texture Analysis in Lung HRCT Images,
DICTA08(305-311).
IEEE DOI Link 0812
BibRef

Shi, Z.H.[Zheng-Hao], Bai, J.[Jun], He, L.F.[Li-Feng], Nakamura, T., Yao, Q.Z.[Quan-Zhu], Itoh, H.,
A Method for Enhancing Lung Nodules in Chest Radiographs by Use of LoG Filter,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Zheng, Y.J.[Yuan-Jie], Kambhamettu, C.[Chandra], Bauer, T.[Thomas], Steiner, K.[Karl],
Accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation,
MMBIA09(101-108).
IEEE DOI Link 0906
BibRef

Wei, E.[Erling], Yan, J.[Jiayong], Xu, M.[Mantao], Zhang, J.W.[Ji-Wu],
A novel segmentation algorithm for pulmonary nodule in chest radiograph,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Suzuki, K.[Kenji], Shi, Z.H.[Zheng-Hao], Zhang, J.[Jun],
Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD),
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Bauer, C.[Christian], Bischof, H.[Horst],
A Novel Approach for Detection of Tubular Objects and Its Application to Medical Image Analysis,
DAGM08(xx-yy).
Springer DOI Link 0806
BibRef

Zheng, Y.J.[Yuan-Jie], Steiner, K.[Karl], Bauer, T.[Thomas], Yu, J.Y.[Jing-Yi], Shen, D.G.[Ding-Gang], Kambhamettu, C.[Chandra],
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework,
MMBIA07(1-8).
IEEE DOI Link 0710
BibRef

Antonelli, M.[Michela], Yang, G.Z.[Guang-Zhong],
Lung Nodule Detection using Eye-Tracking,
ICIP07(II: 457-460).
IEEE DOI Link 0709
BibRef

Memarian, N., Alirezaie, J., Babyn, P.,
Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme,
ICIP06(1921-1924).
IEEE DOI Link 0610
BibRef

Sousa, A.V.[António V.], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Chromatographic Pattern Recognition Using Optimized One-Class Classifiers,
IbPRIA09(449-456).
Springer DOI Link 0906
BibRef
Earlier:
Minimizing the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef
Earlier:
The Class Imbalance Problem in TLC Image Classification,
ICIAR06(II: 513-523).
Springer DOI Link 0610
BibRef

Pereira, C.S.[Carlos S.], Fernandes, H.[Hugo], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Detection of Lung Nodule Candidates in Chest Radiographs,
IbPRIA07(II: 170-177).
Springer DOI Link 0706
BibRef

Pereira, C.S.[Carlos S.], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Evaluation of Contrast Enhancement Filters for Lung Nodule Detection,
ICIAR07(878-888).
Springer DOI Link 0708
BibRef

Pereira, C.S.[Carlos S.], Alexandre, L.A.[Luís A.], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
A Multiclassifier Approach for Lung Nodule Classification,
ICIAR06(II: 612-623).
Springer DOI Link 0610
BibRef

Kubota, T.[Toshiro], Okada, K.[Kazunori],
Estimating Diameters of Pulmonary Nodules with Competition-Diffusion and Robust Ellipsoid Fit,
CVBIA05(324-334).
Springer DOI Link 0601
BibRef

Campadelli, P., Casiraghi, E., Valentini, G.,
Lung Nodules Detection and Classification,
ICIP05(I: 1117-1120).
IEEE DOI Link 0512
BibRef

Corrêa Silva, A.[Aristófanes], Cardoso de Paiva, A.[Anselmo], Carvalho, P.C.P.[Paulo C.P.], Gattass, M.[Marcelo],
Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule,
IbPRIA05(II:479).
Springer DOI Link 0509
BibRef

Silva, J.S.[José Silvestre], Santos, B.S.[Beatriz Sousa], Silva, A.[Augusto], Madeira, J.[Joaquim],
A Level-Set Based Volumetric CT Segmentation Technique: A Case Study with Pulmonary Air Bubbles,
ICIAR04(II: 68-75).
WWW Version. 0409
BibRef

Nakamura, Y., Fukano, G., Takizawa, H., Mizuno, S., Yamamoto, S., Matsumoto, T., Tateno, Y., Iinuma, T.,
Eigen nodule: view-based recognition of lung nodule in chest X-ray CT images using subspace method,
ICPR04(IV: 681-684).
IEEE DOI Link 0409
BibRef

Takizawa, H., Yamamoto, S., Matsumoto, T., Tateno, Y., Iinuma, T., Matsumoto, M.,
Recognition of lung nodules from x-ray ct images using 3d markov random field models,
ICPR02(I: 99-102).
IEEE DOI Link 0211
BibRef

Mousa, W.A.H., Khan, M.A.U.,
Lung nodule classification utilizing support vector machines,
ICIP02(III: 153-156).
IEEE Abstract. 0210
BibRef

Kawata, Y., Niki, N., Ohrnatsu, H., Kusumato, M., Kakinuma, R., Mori, K., Nishiyama, H., Eguchi, K., Kaneko, M., Moriyama, N.,
Three-dimensional CT image retrieval in a database of pulmonary nodules,
ICIP02(III: 149-152).
IEEE Abstract. 0210
BibRef

Kawata, Y., Niki, N., Ohmatsu, H., Kakinuma, R., Mori, K., Eguchi, K., Kaneko, M., Moriyama, N.,
Curvature based analysis of internal structure of pulmonary nodules using thin-section CT images,
ICIP98(III: 851-855).
IEEE DOI Link 9810
BibRef

Minami, K., Kawata, Y., Niki, N., Mori, K., Ohmatsu, H., Kakinuma, R., Eguchi, K., Kusumoto, M., Kaneko, M., Moriyama, N.,
Computerized Characterization of Contrast Enhancement Patterns for Classifying Pulmonary Nodules,
ICIP01(II: 897-900).
IEEE Abstract. 0108
BibRef
Earlier: Takagi, N., A2, A3 only: ICIP00(Vol I: 188-191).
IEEE Abstract. 0008
BibRef

Kawata, Y., Niki, N., Ohmatsu, H., Kusumoto, M., Kakinuma, R., Mori, K., Nishiyama, H., Eguchi, K., Kaneko, M., Moriyama, N.,
Computerized Analysis of 3-d Pulmonary Nodule Images in Surrounding and Internal Structure Feature Spaces,
ICIP01(II: 889-892).
IEEE Abstract. 0108
BibRef

Kubo, M., Kawata, Y., Niki, N., Eguchi, K., Ohmatsu, H., Kakinuma, R., Kaneko, M., Kusumoto, M., Moriyama, N., Mori, K., Nishiyama, H.,
Automatic Extraction of Pulmonary Fissures from Multidetector-row CT Images,
ICIP01(III: 1091-1094).
IEEE Abstract. 0108
BibRef

Kubota, K., Kubo, M., Kawata, Y., Niki, N., Eguchi, K., Omatsu, H., Kakinuma, R., Kaneko, M., Moriyama, N.,
The Results in the Clinical Trial of CAD System for Lung Cancer Using Helical CT Images,
ICIP01(I: 313-316).
IEEE Abstract. 0108
BibRef

Kawata, Y., Niki, N.,
Surrounding Structures Analysis of Pulmonary Nodules Using Differential Geometry Based Vector Fields,
ICIP00(Vol III: 424-427).
IEEE Abstract. 0008
BibRef
And:
Internal Structure Analysis of Pulmonary Nodules in Topological and Histogram Feature Spaces,
ICIP00(Vol I: 168-171).
IEEE Abstract. 0008
BibRef

Sammouda, M., Niki, N.,
Analysis of Color Images of Tissues Derived from Patients with Adenocarcinoma of the Lung,
ICIP00(Vol I: 192-195).
IEEE Abstract. 0008
BibRef

Kubo, M., Niki, N., Eguchi, K., Kaneko, M., Kusumoto, M., Moriyama, N., Omatsu, H., Kakinuma, R., Nishiyama, H., Mori, K., Yamaguchi,
Extraction of Pulmonary Fissures from HRCT Images Based on Surface Curvatures Analysis and Morphology Filters,
ICPR00(Vol I: 490-493).
IEEE DOI Link 0009
BibRef

Yamamoto, T., Ukai, Y., Kubo, M., Niki, N.,
Computer Aided Diagnosis System with Functions to Assist Comparative Reading for Lung Cancer Based on Helical CT Image,
ICIP00(Vol I: 180-183).
IEEE Abstract. 0008
BibRef

Kubo, M., Niki, N.,
Extraction of Pulmonary Fissures from Thin-section CT Images Using Calculation of Surface-curvatures and Morphology Filters,
ICIP00(Vol II: 637-640).
IEEE Abstract. 0008
BibRef

Kubo, M., Tozaki, T., Niki, N., Nakagawa, S., Yamaguchi, N., Eguchi, K., Kaneko, M., Omatsu, H., and Moriyama, N.,
Bias Field Correction of Chest Thin Section CT Images,
ICIP97(III: 551-554).
IEEE DOI Link BibRef 9700

Kawata, Y., Niki, N., Ohmatsu, H., Kusumoto, M., Kakinuma, R., Mori, K., Nishiyama, H., Eguchi, K., Kaneko, M., Moriyama, N.,
Computerized Analysis of Pulmonary Nodules in Topological and Histogram Feature Spaces,
ICPR00(Vol IV: 332-335).
IEEE DOI Link 0009
BibRef

Kawata, Y., Niki, N., Ohmatsu, H., Kusumoto, M., Kakinuma, R., Mori, K., Nishiyama, H., Eguchi, K., Kaneko, M., Moriyama, N.,
Computer aided differential diagnosis of pulmonary nodules using curvature based analysis,
CIAP99(470-475).
IEEE DOI Link 9909
BibRef

Ohmatsu, H.[Hironobu], Kawata, Y.[Yoshiki], Niki, N.[Noboru], Kaneko, M., Satoh, H.[Hitoshi], Kanazawa, K., Eguchi, K.[Kenji], Moriyama, N.[Noriyuki], Kakinuma, Y.,
Computer-Aided Diagnosis for Pulmonary Nodules Based on Helical CT Images,
ICPR98(Vol II: 1683-1685).
IEEE DOI Link 9808
BibRef

Kawata, Y., Kanazawa, K., Toshioka, S., Niki, N., Satoh, H., Ohmatsu, H., Eguchi, K., Moriyama, N.,
Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images,
CIAP97(II: 420-427).
WWW Version. 9709
BibRef
Earlier: Only: A2, A4, Add: Kubo, M., A5, A6, A7, A8: ICPR96(III: 381-385).
IEEE DOI Link 9608
(Univ. of Tokushima, J) BibRef

Tozaki, T., Kawata, Y., Niki, N., Ohmatsu, H., Eguchi, K., Moriyama, N.,
Three Dimensional Analysis of Lung Areas Using Thin Slice CT Images,
ICPR96(III: 548-552).
IEEE DOI Link 9608
(Univ. of Tokushima, J) BibRef

Kawata, Y., Niki, N., Ohmatsu, H., Kakinuma, R., Kushmoto, M., Mori, K., Nishiyama, N., Eguchi, K., Kaneko, M., Moriyama, N.,
Classification of Pulmonary Nodules in Thin-section CT Images by Using Multi-scale Curvature Indexes,
ICIP99(II:197-201).
IEEE Abstract. BibRef 9900

Kawata, Y., Niki, N., Ohmatsu, H., Eguchi, K., Kaneko, M., and Moriyama, N.,
Classification of Pulmonary Nodules in Thin Section CT Images Based on Shape Characterization,
ICIP97(III: 528-530).
IEEE DOI Link BibRef 9700

Kawata, Y.[Yoshiki], Kaneko, M., Eguchi, K.[Kenji], Kakinuma, R., Moriyama, N.[Noriyuki], Niki, N.[Noboru], Ohmatsu, H.[Hironobu],
Curvature Based Analysis of Pulmonary Nodules Using Thin-Section CT Images,
ICPR98(Vol I: 361-363).
IEEE DOI Link 9808
BibRef

Takagi, N., Kawata, Y., Niki, N., Mori, K., Ohmatsu, H., Kakinuma, R., Eguchi, K., Kusumoto, M., Kaneko, M., Moriyama, N.,
3D analysis of solitary pulmonary nodules based on contrast enhanced dynamic CT,
ICIP99(III:416-420).
IEEE Abstract. BibRef 9900

Tanaka, A., Tozaki, T., Kawata, Y., Niki, N., Ohmatsu, H., Kakimura, R., Kaneko, M., Eguchi, K., Moriyama, N.,
Pulmonary Organs Analysis Method and Its Evaluation Based on Thoracic Thin-section CT Images,
ICIP99(III:421-425).
IEEE Abstract. BibRef 9900

Mukaibo, T., Kawata, Y., Niki, N., Ohmatsu, H., Kakinuma, R., Kaneko, M., Eguchi, K., Moriyama, K.,
Classification of Pulmonary Blood Vessel Using Multidetector-row CT Images,
ICIP01(II: 841-844).
IEEE Abstract. 0108
BibRef

Chen, X.[Xuan], Hasegawa, J.I., Toriwaki, J.I.,
Quantitative diagnosis of pneumoconiosis based on recognition of small rounded opacities in chest X-ray images,
ICPR88(I: 462-464).
IEEE DOI Link 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Ribs, Chest X-Rays .