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

Internet

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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