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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: © Georg Thieme Verlag KG 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5452962/
https://www.ncbi.nlm.nih.gov/pubmed/28580415
http://dx.doi.org/10.1055/s-0043-105488

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5452962/
https://www.ncbi.nlm.nih.gov/pubmed/28580415
http://dx.doi.org/10.1055/s-0043-105488

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