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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Sota Kato, Kazuhiro Hotta (Meijo Univ.)  PRMU2022-110 IBISML2022-117 |
(To be available after the conference date) [more] | PRMU2022-110 IBISML2022-117 pp.269-274 |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
| MI | 2022-01-26 15:00 |
Online | Online | [Special Talk]
TBA Ryoma Bise (Kyushu Univ.) MI2021-66 |
Supervised learning (e.g., deep learning) has been used for various tasks in biomedical image analysis. While supervised... [more] | MI2021-66 p.88 |
| MI | 2021-03-16 16:00 |
Online | Online | MI2020-80 |
(To be available after the conference date) [more] | MI2020-80 pp.138-143 |
| MI | 2020-01-29 14:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Cell Image Segmentation by Attention Module Considering Relationship Between Generator and Discriminator Hiroki Tsuda, Kazuhiro Hotta (Meijo Univ.) MI2019-88 |
(To be available after the conference date) [more] | MI2019-88 pp.103-108 |
| MI | 2019-07-05 16:20 |
Hokkaido | Future Univ. Hakodate | Cell Image Segmentation Using Spatial Attention Module Matsuzuki Daisuke, Hotta Kazuhiro (Meijo Univ) MI2019-21 |
(To be available after the conference date) [more] | MI2019-21 pp.11-15 |
| MI | 2019-01-22 13:20 |
Okinawa | Cell image segmentation by Attention module Yuki Hiramatsu, Kazuhiro Hotta (Meijo Univ.) MI2018-79 |
(To be available after the conference date) [more] | MI2018-79 pp.77-80 |
|
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98 |
In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] | MI2016-98 pp.101-106 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | A Study of Image Binarization based on Multiple Resolution Analysis of Digital Flow Analysis Kenji Honda (TUMST), Makoto Sato (TITECH) MI2016-109 |
Recently, research fields called bioimage informatics for obtaining quantitative data of cell images by a computer has g... [more] | MI2016-109 pp.145-150 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | An Image-based Classification Algorithm for the Non-invasive Quality Evaluation of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2015-130 |
With recent progress of cell and tissue therapy in regenerative medicine, novel classification method of cell quality ha... [more] | MI2015-130 pp.277-282 |
| SIS | 2015-12-03 16:00 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Analysis Aiding System for Cell Image Sequences Kohei Watarai, Yutaka Nakano, Toshiyuki Yoshida (Fukui Univ) SIS2015-36 |
In some biological areas, an analysis aiding system is required that realizes an automatic cell-region segmentation and ... [more] | SIS2015-36 pp.41-45 |
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