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...

Descripción completa

Detalles Bibliográficos
Autores principales: de Maissin, Astrid, Vallée, Remi, Flamant, Mathurin, Fondain-Bossiere, Marie, Berre, Catherine Le, Coutrot, Antoine, Normand, Nicolas, Mouchère, Harold, Coudol, Sandrine, Trang, Caroline, Bourreille, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216776/
https://www.ncbi.nlm.nih.gov/pubmed/34222640
http://dx.doi.org/10.1055/a-1468-3964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216776/
https://www.ncbi.nlm.nih.gov/pubmed/34222640
http://dx.doi.org/10.1055/a-1468-3964

Ejemplares similares