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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2019-01-23
10:30
Okinawa   [Short Paper] Investigation on Versatility of Automatic Detection of Microaneurysms in Retinal Image by Using Deep Learning
Mitsuhiro Miyashita, Yuji Hatanaka, Kazunori Ogohara (Univ. of Shiga Pref), Chisako Muramatsu (Gifu Univ), Wataru Sunayama (Univ. of Shiga Pref), Hiroshi Fujita (Gifu Univ) MI2018-90
(To be available after the conference date) [more] MI2018-90
pp.127-129
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Automated microaneurysms detection in retinal fundus images -- Performance evaluation using ROC Database --
Yuji Hatanaka, Tsuyoshi Inoue, Susumu Okumura (Univ. of Shiga Pref.), Chisako Muramatsu, Hiroshi Fujita (Gifu Univ.) MI2012-106
The purpose of this study is to improve the automated microaneurysms (MAs) detection in the retinal fundus images. Altho... [more] MI2012-106
pp.231-234
MI 2010-01-28
11:40
Okinawa Naha-Bunka-Tenbusu Automated method for detection of diabetic retinopathy lesions based on double ring filter in retinal fundus images
Atsushi Mizutani, Chisako Muramatsu (Gifu Univ.), Yuji Hatanaka (Univ. of Shiga Pref.), Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2009-109
In this paper, we propose an automatic detection technique of microaneurysms which is t a diagnostic sign of the diabeti... [more] MI2009-109
pp.183-187
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