Session Details

[D-16]医用画像

Thu. Mar 27, 2025 9:30 AM - 12:00 PM JST
Thu. Mar 27, 2025 12:30 AM - 3:00 AM UTC
Building No.1 2F 12E(Tokyo City University)
Chair:HIDENOBU SUZUKI, Haraguchi Ryo

[D-16-01]Microscopy imaging methods for cell membrane extraction in histopathological sections

〇Yuichi Sugawara1, Masanobu Takahashi1, Masayuki Nakano2 (1. Shibaura Institute of Technology, 2. Tokyo Central Pathology Laboratory)

[D-16-02]Microscopy imaging methods for cell nuclei extraction in unstained histopathological sections

〇Daichi Suzuki1, Yuichi Sugawara1, Masanobu Takahashi1, Masayuki Nakano2 (1. Shibaura Institute of Technology, 2. Tokyo Central Pathology Laboratory)

[D-16-03]Predicting Coronary Artery Stenosis from Cardiac CT Images
How input forms, lesion hypotheses, and DNN types affect stenosis assessment

〇Minori Kondo1, Tetsuya Asakawa1, Masaki Aono1 (1. Toyohashi University of Technology)

[D-16-04]Cardiac coronary artery stenosis estimation by multi-class, multi-label classification using non-contrast CT images

〇Shota Fukuyama1, Tetsuya Asakawa1, Masaki Aono1 (1. Toyohashi University of Technology)

[D-16-05]Chest X-ray Image Analysis for Heart Failure Prognosis Risk Estimation Using a Combination of Convolutional Neural Networks and Principal Component Analysis

〇Futa Sato1, Yuto Omae2, Yuki Saito2, Yasuo Okumura2, Kazuki Sakai1 (1. National Institute of Technology, Nagaoka College, 2. Nihon University)

Break time

[D-16-06]Diagnosis of Duodenal Tumors and Segmentation of their Endoscope Images by Local Multi Fractal

〇Daichi Yakushiji1, Toshiaki Aida1, Yasushi Yamasaki2, Takuya Satomi2, Yoshiro Kawahara2 (1. Graduate School of Interdisciplinary Science and Engineering in Health Systems, 2. Faculty of Medicine, Dentistry and Pharmaceutical Sciences)

[D-16-07]Improving the Explainability of Endoscopic Image Diagnosis with Domain Adaptation

〇Tomoki Marutani1, Toshiaki Aida1, Yoshiro Kawahara2, Kenta Hamada 2, Yasushi Yamasaki2, Takuya Satomi2 (1. Graduate School of Interdisciplinary Science and Engineering in Health Systems, 2. Faculty of Medicine, Dentistry and Pharmaceutical Sciences)

[D-16-08]Diagnosis of Tumor Grade of Urothelial Carcinoma by a CNN with Explainability

〇Makoto Inose2, Toshiaki Aida2, Motoo Araki1, Takanori Sekito1 (1. Okayama University Graduate School of Medicine Dentistry and Pharmaceutical Sciences, Urology, 2. Graduate School of Interdisciplinary Science and Engineering in Health Systems)

[D-16-09]Diagnosis of the Invasion Depth of Gastric Cancer by a ConvolutionalNeural Network with Explainability II

〇Kazuki Kametaka1, Toshiaki Aida1, Yoshiro Kawahara2, Kenta Hamada2 (1. Graduate School of Interdisciplinary Science and Engineering in Health Systems, 2. Department of Practical Gastrointestinal Endoscopy, Faculty of Medicine, Dentistry and Pharmaceutical Sciences)