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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
10:22		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs
Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68		 This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] MI2023-68
pp.117-118
MI 2024-03-04
15:22		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 Prediction of Cancer Relapse for Non-Small Cell Lung Cancer Patients Using Clinical and Imaging Features Before Stereotactic Ablative Radiotherapy
Takumi Kodama, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (Kyushu Cancer Center), Kenta Ninomiya (Sanford Burnham Prebys Med. Discov. Inst.), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (SAGA HIMAT) MI2023-85		 The aim of this study is to predict locoregional relapse and distant metastasis in stage I non-small cell lung cancer pa... [more] MI2023-85
pp.173-175
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