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-Ass...

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Detalles Bibliográficos
Autores principales: Leenhardt, Romain, Li, Cynthia, Le Mouel, Jean-Philippe, Rahmi, Gabriel, Saurin, Jean Christophe, Cholet, Franck, Boureille, Arnaud, Amiot, Xavier, Delvaux, Michel, Duburque, Clotilde, Leandri, Chloé, Gérard, Romain, Lecleire, Stéphane, Mesli, Farida, Nion-Larmurier, Isabelle, Romain, Olivier, Sacher-Huvelin, Sylvie, Simon-Shane, Camille, Vanbiervliet, Geoffroy, Marteau, Philippe, Histace, Aymeric, Dray, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: © Georg Thieme Verlag KG 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035135/
https://www.ncbi.nlm.nih.gov/pubmed/32118115
http://dx.doi.org/10.1055/a-1035-9088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035135/
https://www.ncbi.nlm.nih.gov/pubmed/32118115
http://dx.doi.org/10.1055/a-1035-9088

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