Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

We aimed to develop a computer-aided diagnostic system (CAD) for predicting colorectal polyp histology using deep-learning technology and to validate its performance. Near-focus narrow-band imaging (NBI) pictures of colorectal polyps were retrieved from the database of our institution. Of these, 124...

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Detalles Bibliográficos
Autores principales: Song, Eun Mi, Park, Beomhee, Ha, Chun-Ae, Hwang, Sung Wook, Park, Sang Hyoung, Yang, Dong-Hoon, Ye, Byong Duk, Myung, Seung-Jae, Yang, Suk-Kyun, Kim, Namkug, Byeon, Jeong-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949236/
https://www.ncbi.nlm.nih.gov/pubmed/31913337
http://dx.doi.org/10.1038/s41598-019-56697-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949236/
https://www.ncbi.nlm.nih.gov/pubmed/31913337
http://dx.doi.org/10.1038/s41598-019-56697-0

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