Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer

Colonoscopy is commonly used to screen for colorectal cancer (CRC). We develop a deep learning model called CRCNet for optical diagnosis of CRC by training on 464,105 images from 12,179 patients and test its performance on 2263 patients from three independent datasets. At the patient-level, CRCNet a...

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Detalles Bibliográficos
Autores principales: Zhou, Dejun, Tian, Fei, Tian, Xiangdong, Sun, Lin, Huang, Xianghui, Zhao, Feng, Zhou, Nan, Chen, Zuoyu, Zhang, Qiang, Yang, Meng, Yang, Yichen, Guo, Xuexi, Li, Zhibin, Liu, Jia, Wang, Jiefu, Wang, Junfeng, Wang, Bangmao, Zhang, Guoliang, Sun, Baocun, Zhang, Wei, Kong, Dalu, Chen, Kexin, Li, Xiangchun
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/PMC7289893/
https://www.ncbi.nlm.nih.gov/pubmed/32528084
http://dx.doi.org/10.1038/s41467-020-16777-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289893/
https://www.ncbi.nlm.nih.gov/pubmed/32528084
http://dx.doi.org/10.1038/s41467-020-16777-6

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