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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
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
MI 2016-11-14
Tottori Tottori Univ. Detecting Occular Diseases from an Optical Coherence Tomography Image by Machine Learning
Yuji Ayatsuka (CRESCO), Soichiro Kuwayama, Hideaki Usui, Aki Kato, Yuichiro Ogura, Tsutomu Yasukawa (NCU) MI2016-64
We applied machine learning technique with Convolutional Neural Network
for Optical Coherence Tomography (OCT) images,... [more]
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