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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Dettagli Bibliografici
Pubblicato in:Endosc Int Open
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: © Georg Thieme Verlag KG 2017
Accesso online: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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