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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-05-18
16:00
Aichi Nagoya Congress Center Correlation Between Grid Masks in an Explanation Method for Image Classification
Kentaro Matsumoto, Yuji Ayatsuka (CRESCO) MI2023-5
One of the approaches to visualize the basis for image classification by machine learning is to use output values when c... [more] MI2023-5
pp.14-18
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
14:20
Online Online Tooth Numbering in Panoramic Radiographs by Simple Annotation
Mamoru Yamazaki, Yuji Ayatsuka (CRESCO), Kazuhiko Hamamoto (Tokai Univ.) SIP2020-4 BioX2020-4 IE2020-4 MI2020-4
 [more] SIP2020-4 BioX2020-4 IE2020-4 MI2020-4
pp.15-19
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
13:55
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) 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
MI 2016-11-14
10:00
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]
MI2016-64
pp.11-14
 Results 1 - 5 of 5  /   
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