Výsledky vyhledávání - "Ota, Mitsuhiko"

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Predicting Generalization of AI Colonoscopy Models to Unseen Data

Autor: Shor, Joel, McNeil, Carson, Intrator, Yotam, Ledsam, Joseph R, Yamano, Hiro-o, Tsurumaru, Daisuke, Kayama, Hiroki, Hamabe, Atsushi, Ando, Koji, Ota, Mitsuhiko, Ogino, Haruei, Nakase, Hiroshi, Kobayashi, Kaho, Miyo, Masaaki, Oki, Eiji, Takemasa, Ichiro, Rivlin, Ehud, Goldenberg, Roman

$\textbf{Background}$: Generalizability of AI colonoscopy algorithms is important for wider adoption in clinical practice. However, current techniques for evaluating performance on unseen data require expensive and time-intensive labels. $\textbf{Met

Externí odkaz: http://arxiv.org/abs/2403.09920

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The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries

Autor: Shor, Joel, Yamano, Hiro-o, Tsurumaru, Daisuke, Intrator, Yotami, Kayama, Hiroki, Ledsam, Joe, Hamabe, Atsushi, Ando, Koji, Ota, Mitsuhiko, Ogino, Haruei, Nakase, Hiroshi, Kobayashi, Kaho, Oki, Eiji, Goldenberg, Roman, Rivlin, Ehud, Takemasa, Ichiro

$\textbf{Background and aims}$: Artificial Intelligence (AI) Computer-Aided Detection (CADe) is commonly used for polyp detection, but data seen in clinical settings can differ from model training. Few studies evaluate how well CADe detectors perform

Externí odkaz: http://arxiv.org/abs/2312.06833

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