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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 16:54 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain generalization with WSI feature Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakazima (Kyoto Univ.), Akihiko Yoshizawa (Nara Medical Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) MI2023-58 |
In this study, we propose a domain generalization method for pathological images (WSI). Domain shifts in pathological im... [more] |
MI2023-58 pp.81-84 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-16 15:10 |
Tottori |
(Primary: On-site, Secondary: Online) |
Domain generalization for pathological image Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakajima, Akihiko Yoshizawa (Kyoto Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) PRMU2023-16 |
(To be available after the conference date) [more] |
PRMU2023-16 pp.6-10 |
PRMU, IPSJ-CVIM |
2022-05-13 15:20 |
Aichi |
Toyota Technological Institute |
Semi-supervised learning for pathological images segmentation Yuki Shigeyasu, Shota Harada, Kengo Araki (Kyushu Univ.), Akihiko Yoshizawa, Kazuhiro Terada, Yuki Teramoto (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2022-8 |
[more] |
PRMU2022-8 pp.42-46 |
PRMU |
2021-12-17 15:30 |
Online |
Online |
[Short Paper]
The classification of cancer in Pathological image with easy annotation Tatsuhiko Sugimoto (Kyushu Univ.), Kazuhiro Terada, Akihiko Yoshizawa (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2021-54 |
(To be available after the conference date) [more] |
PRMU2021-54 pp.165-169 |
PRMU |
2021-12-17 15:40 |
Online |
Online |
[Short Paper]
Segmentation of Cervical Cancer Pathological Image Kengo Araki (Kyushu Univ.), Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2021-55 |
(To be available after the conference date) [more] |
PRMU2021-55 pp.170-175 |
PRMU |
2019-12-19 13:30 |
Oita |
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PRMU2019-50 |
We propose a new problem setting and method that uses cancer type ratio as weak supervision for semi-supervised learning... [more] |
PRMU2019-50 pp.23-27 |
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