Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists

OBJECTIVES: The microscopic evaluation of slides has been gradually moving towards all digital in recent years, leading to the possibility for computer-aided diagnosis. It is worthwhile to know the similarities between deep learning models and pathologists before we put them into practical scenarios...

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Detalles Bibliográficos
Autores principales: Song, Zhigang, Yu, Chunkai, Zou, Shuangmei, Wang, Wenmiao, Huang, Yong, Ding, Xiaohui, Liu, Jinhong, Shao, Liwei, Yuan, Jing, Gou, Xiangnan, Jin, Wei, Wang, Zhanbo, Chen, Xin, Chen, Huang, Liu, Cancheng, Xu, Gang, Sun, Zhuo, Ku, Calvin, Zhang, Yongqiang, Dong, Xianghui, Wang, Shuhao, Xu, Wei, Lv, Ning, Shi, Huaiyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485250/
https://www.ncbi.nlm.nih.gov/pubmed/32912980
http://dx.doi.org/10.1136/bmjopen-2019-036423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485250/
https://www.ncbi.nlm.nih.gov/pubmed/32912980
http://dx.doi.org/10.1136/bmjopen-2019-036423

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