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Automatic Quantitative Identification of Disproportionately Enlarged Subarachnoid-Space Hydrocephalus in iNPH Using Deep Learning Models

Author:SHIGEKI YAMADA Hirotaka Ito Hironori Matsumasa Satoshi Ii Tomohiro Otani Motoki Tanikawa Chifumi Iseki Yoshiyuki Watanabe Shigeo Wada Marie Oshima Mitsuhito Mase

Session Type:Digital Poster

Session Date:Tuesday, 07 May 2024

Session Name:Deep Learning Segmentation Applied to Evaluate Neurofluids

Program Number:2479

Room Session:Exhibition Hall (Hall 403)

Institution:FUJIFILM Corporation Nagoya City University Graduate School of Medical Science Osaka University Shiga University of Medical Science The University of Tokyo Tohoku University Graduate School of Medicine Tokyo Metropolitan University Yamagata Univers

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