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Deep learning-based anatomical site classification for upper gastrointestinal endoscopy

PURPOSE: Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-cost solution to address quality control for endoscopic reporting. The problem is, however, challenging for computer-assisted techniques, because different sites have similar appearances. Additionally,...

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Detalles Bibliográficos
Autores principales:	He, Qi, Bano, Sophia, Ahmad, Omer F., Yang, Bo, Chen, Xin, Valdastri, Pietro, Lovat, Laurence B., Stoyanov, Danail, Zuo, Siyang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2020
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316667/ https://www.ncbi.nlm.nih.gov/pubmed/32377939 http://dx.doi.org/10.1007/s11548-020-02148-5

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