首页> Journal of Crohn's & colitis> Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

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第一作者： João Pedro Sousa,Ferreira

第一单位： Faculty of Engineering of the University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.;INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Rua Dr. Roberto Frias, Porto, Portugal.

作者： João Pedro Sousa,Ferreira ^[1] ; Miguel José da Quinta E Costa,de Mascarenhas Saraiva ^[2] ; João Pedro Lima,Afonso ^[3] ; Tiago Filipe Carneiro,Ribeiro ^[3] ; Hélder Manuel Casal,Cardoso ^[2] ; Ana Patrícia,Ribeiro Andrade ^[2] ; Miguel Nuno Gameiro,de Mascarenhas Saraiva ^[4] ; Marco Paulo Lages,Parente ^[1] ; Renato,Natal Jorge ^[1] ; Susana Isabel Oliveira,Lopes ^[2] ; Guilherme Manuel Gonçalves,de Macedo ^[2]

作者单位： Faculty of Engineering of the University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.;INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Rua Dr. Roberto Frias, Porto, Portugal. ^[1] Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, Porto, Portugal.;World Gastroenterology Organization Gastroenterology and Hepatology Training Center, Porto, Portugal.;Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, Porto, Portugal. ^[2] Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, Porto, Portugal.;World Gastroenterology Organization Gastroenterology and Hepatology Training Center, Porto, Portugal. ^[3] ManopH Gastroenterology Clinic, Rua Sá da Bandeira 752, Porto, Portugal. ^[4]

关键词 Capsule endoscopy Crohn’s disease artificial intelligence