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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...
Autores principales: | Ozawa, Tsuyoshi, Ishihara, Soichiro, Fujishiro, Mitsuhiro, Kumagai, Youichi, Shichijo, Satoki, Tada, Tomohiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
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 |
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