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Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis
Authors:Tsuyoshi Ozawa  Soichiro Ishihara  Mitsuhiro Fujishiro  Hiroaki Saito  Youichi Kumagai  Satoki Shichijo  Kazuharu Aoyama  Tomohiro Tada
Affiliation:1. Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan;2. Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan;3. Department of Surgery, Sanno Hospital, The International University of Health and Welfare, Tokyo, Japan;4. Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan;5. Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan;6. Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan;7. Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan;8. Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan;9. AI Medical Service Inc, Tokyo, Japan
Abstract:
Keywords:AI  artificial intelligence  AUROC  area under the receiver operating characteristics curve  CAD  computer-assisted diagnosis  CI  confidence interval  CNN  convolutional neural network  PS  probability score  ROC  receiver operating characteristic  UC  ulcerative colitis
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