Automatic anatomical classification of colonoscopic images using deep convolutional neural networks

BACKGROUND: A colonoscopy can detect colorectal diseases, including cancers, polyps, and inflammatory bowel diseases. A computer-aided diagnosis (CAD) system using deep convolutional neural networks (CNNs) that can recognize anatomical locations during a colonoscopy could efficiently assist practiti...

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Detalles Bibliográficos
Autores principales: Saito, Hiroaki, Tanimoto, Tetsuya, Ozawa, Tsuyoshi, Ishihara, Soichiro, Fujishiro, Mitsuhiro, Shichijo, Satoki, Hirasawa, Dai, Matsuda, Tomoki, Endo, Yuma, Tada, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309686/
https://www.ncbi.nlm.nih.gov/pubmed/34316372
http://dx.doi.org/10.1093/gastro/goaa078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309686/
https://www.ncbi.nlm.nih.gov/pubmed/34316372
http://dx.doi.org/10.1093/gastro/goaa078

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