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Deep learning

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  • Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy

    Yu Takahashi, Kenbun Sone, Katsuhiko Noda, Kaname Yoshida, Yusuke Toyohara, Kosuke Kato, Futaba Inoue, Asako Kukita, Ayumi Taguchi, Haruka Nishida, Yuichiro Miyamoto, Michihiro Tanikawa, Tetsushi Tsuruga, Takayuki Iriyama, Kazunori Nagasaka, Yoko Matsumoto, Yasushi Hirota, Osamu Hiraike-Wada, Katsutoshi Oda, Masanori Maruyama, Yutaka Osuga, Tomoyuki Fujii

    published 31 Mar 2021

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  • Improved detection of air trapping on expiratory computed tomography using deep learning

    Sundaresh Ram, Benjamin A. Hoff, Alexander J. Bell, Stefanie Galban, Aleksa B. Fortuna, Oliver Weinheimer, Mark O. Wielpütz, Terry E. Robinson, Beverley Newman, Dharshan Vummidi, Aamer Chughtai, Ella A. Kazerooni, Timothy D. Johnson, MeiLan K. Han, Charles R. Hatt, Craig J. Galban

    published 24 Mar 2021

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