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Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.

S. Kohara, T. Tateyama, A. Foruzan, A. Furukawa, S. Kanasaki, M. Wakamiya, X. Wei, and Y. Chen. ICIP, page 2921-2924. IEEE, (2011)

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A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.H. Li, Y. Iwamoto, X. Han, L. Lin, R. Tong, H. Hu, A. Furukawa, S. Kanasaki, and Y. Chen. ICCE, page 1-4. IEEE, (2022)A Morphologic Analysis of Cirrhotic Liver in CT Images.Y. Chen, J. Luo, X. Han, T. Tateyama, A. Furukawa, and S. Kanasaki. ICIAR, volume 7950 of Lecture Notes in Computer Science, page 494-501. Springer, (2013)Pilot study of applying shape analysis to liver cirrhosis diagnosis.J. Luo, Y. Chen, X. Han, T. Tateyama, A. Furukawa, and S. Kanasaki. ICIP, page 3537-3541. IEEE, (2013)MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.H. Huang, Q. Chen, L. Lin, M. Cai, Q. Zhang, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki, Y. Chen and 2 other author(s). IEEE J. Biomed. Health Informatics, 26 (8): 3988-3998 (2022)Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning.Y. Chen, J. Luo, C. Dong, X. Han, T. Tateyama, A. Furukawa, and S. Kanasaki. Comput. Math. Methods Medicine, (2013)An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.H. Li, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki, and Y. Chen. EMBC, page 3309-3312. IEEE, (2021)Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking.K. Otsuki, A. Furukawa, S. Kanasaki, Y. Iwamoto, T. Tateyama, and Y. Chen. ICNC-FSKD, page 437-440. IEEE, (2018)Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.S. Kohara, T. Tateyama, A. Foruzan, A. Furukawa, S. Kanasaki, M. Wakamiya, X. Wei, and Y. Chen. ICIP, page 2921-2924. IEEE, (2011)Automated assessment of small bowel motility function based on three-dimensional zero-mean normalized cross correlation.A. Taniguchi, A. Furukawa, S. Kanasaki, T. Tateyama, and Y. Chen. BMEI, page 802-805. IEEE, (2013)3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.H. Li, Y. Iwamoto, X. Han, L. Lin, A. Furukawa, S. Kanasaki, and Y. Chen. IEICE Trans. Inf. Syst., 106 (5): 1027-1037 (May 2023)

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Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.

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Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis.