KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes

BACKGROUND AND AIMS:  Capsule endoscopy (CE) has revolutionized small-bowel (SB) investigation. Computational methods can enhance diagnostic yield (DY); however, incorporating machine learning algorithms (MLAs) into CE reading is difficult as large amounts of image annotations are required for train...

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Detalhes bibliográficos
Publicado no:Endosc Int Open
Main Authors: Koulaouzidis, Anastasios, Iakovidis, Dimitris K., Yung, Diana E., Rondonotti, Emanuele, Kopylov, Uri, Plevris, John N., Toth, Ervin, Eliakim, Abraham, Wurm Johansson, Gabrielle, Marlicz, Wojciech, Mavrogenis, Georgios, Nemeth, Artur, Thorlacius, Henrik, Tontini, Gian Eugenio
Formato: Artigo
Idioma:Inglês
Publicado em: © Georg Thieme Verlag KG 2017
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5452962/
https://ncbi.nlm.nih.gov/pubmed/28580415
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0043-105488
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