Automated histological classification for digital pathology images of colonoscopy specimen via deep learning

Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological diagnosis. This study aimed to develop and validate deep learning models that automatically classify digital pathology images of colon lesions obtained from colonoscopy-related specimen. Histopatholog...

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Detalles Bibliográficos
Autores principales: Byeon, Sun-ju, Park, Jungkap, Cho, Yoon Ah, Cho, Bum-Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329279/
https://www.ncbi.nlm.nih.gov/pubmed/35896791
http://dx.doi.org/10.1038/s41598-022-16885-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329279/
https://www.ncbi.nlm.nih.gov/pubmed/35896791
http://dx.doi.org/10.1038/s41598-022-16885-x

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