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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-01-26
13:52
Online Online Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection
Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-63
We propose new visual explanation methods for a trained object detector toward precise automated polyp localisation. Sev... [more] MI2021-63
pp.76-81
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
14:10
Okayama   Analysis and Feature Selection of CNN Features -- Recognition of Neoplasia by using Endocytoscopic Images --
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) PRMU2019-29 MI2019-48
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces.
Deep learni... [more]
PRMU2019-29 MI2019-48
pp.129-134
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
15:25
Okinawa   Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] MI2017-81
pp.51-56
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