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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,...
Gardado en:
| Publicado en: | Int J Comput Assist Radiol Surg |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer International Publishing
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7316667/ https://ncbi.nlm.nih.gov/pubmed/32377939 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-020-02148-5 |
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