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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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