CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy

CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy

Background and study aims Capsule endoscopy (CE) is the preferred method for small bowel (SB) exploration. With a mean number of 50,000 SB frames per video, SBCE reading is time-consuming and tedious (30 to 60 minutes per video). We describe a large, multicenter database named CAD-CAP (Computer-Assi...

Full description

Bibliographic Details
Main Authors: Romain Leenhardt, Cynthia Li, Jean-Philippe Le Mouel, Gabriel Rahmi, Jean Christophe Saurin, Franck Cholet, Arnaud Boureille, Xavier Amiot, Michel Delvaux, Clotilde Duburque, Chloé Leandri, Romain Gérard, Stéphane Lecleire, Farida Mesli, Isabelle Nion-Larmurier, Olivier Romain, Sylvie Sacher-Huvelin, Camille Simon-Shane, Geoffroy Vanbiervliet, Philippe Marteau, Aymeric Histace, Xavier Dray
Format: Article
Language:English
Published: Georg Thieme Verlag KG 2020-02-01
Series:Endoscopy International Open
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/a-1035-9088

Internet

http://www.thieme-connect.de/DOI/DOI?10.1055/a-1035-9088

Similar Items