Multi-expert annotation of Crohn’s disease images of the small bowel for automatic detection using a convolutional recurrent attention neural network

Multi-expert annotation of Crohn’s disease images of the small bowel for automatic detection using a convolutional recurrent attention neural network

Background and study aims Computer-aided diagnostic tools using deep neural networks are efficient for detection of lesions in endoscopy but require a huge number of images. The impact of the quality of annotation has not been tested yet. Here we describe a multi-expert annotated dataset of images e...

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Bibliographic Details
Main Authors: Astrid de Maissin, Remi Vallée, Mathurin Flamant, Marie Fondain-Bossiere, Catherine Le Berre, Antoine Coutrot, Nicolas Normand, Harold Mouchère, Sandrine Coudol, Caroline Trang, Arnaud Bourreille
Format: Article
Language:English
Published: Georg Thieme Verlag KG 2021-06-01
Series:Endoscopy International Open
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/a-1468-3964

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