Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks

BACKGROUND: Recently the American Society for Gastrointestinal Endoscopy addressed the ‘resect and discard’ strategy, determining that accurate in vivo differentiation of colorectal polyps (CP) is necessary. Previous studies have suggested a promising application of artificial intelligence (AI), usi...

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Detalles Bibliográficos
Autores principales: Ozawa, Tsuyoshi, Ishihara, Soichiro, Fujishiro, Mitsuhiro, Kumagai, Youichi, Shichijo, Satoki, Tada, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092386/
https://www.ncbi.nlm.nih.gov/pubmed/32231710
http://dx.doi.org/10.1177/1756284820910659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092386/
https://www.ncbi.nlm.nih.gov/pubmed/32231710
http://dx.doi.org/10.1177/1756284820910659

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