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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Bibliografische gegevens
Gepubliceerd in:Gastroenterol Rep (Oxf)
Hoofdauteurs: Saito, Hiroaki, Tanimoto, Tetsuya, Ozawa, Tsuyoshi, Ishihara, Soichiro, Fujishiro, Mitsuhiro, Shichijo, Satoki, Hirasawa, Dai, Matsuda, Tomoki, Endo, Yuma, Tada, Tomohiro
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2020
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Original Articles
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8309686/
https://ncbi.nlm.nih.gov/pubmed/34316372
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gastro/goaa078
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