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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
13:55		 Okayama (Okayama) Hierarchical Classification to Detect Type of Diseases and Abnormality Simultaneously in Optical Coherence Tomography Images
Yudai Kato, Yuji Ayatsuka, Takaki Uta (CRESCO), Soichiro Kuwayama, Hideaki Usui, Aki Kato, Yuichiro Ogura, Tsutomu Yasukawa (Nagoya City University) PRMU2019-26 MI2019-45		 Analyzing medical images with machine learning is useful not only
for classifying types of diseases but for screening ... [more]		 PRMU2019-26 MI2019-45
pp.105-108
MI 2018-07-24
10:15		 Iwate aiina (Morioka, Iwate) (Iwate) Classification of Corneal Shape Images by Machine Learning
Yuji Ayatsuka (CRESCO), Kazutaka Kamiya (Kitasato Univ.), Yudai Kato, Yusuke Kudo (CRESCO), Fusako Fujimura, Nobuyuki Shoji (Kitasato Univ.), Yosai Mori, Kazunori Miyata (Miyata Eye Hospital) MI2018-22		 Keratoconus is one of an ophthalmic disease on a cornea, which brings thinning and deformation in the center of cornea a... [more] MI2018-22
pp.5-8
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