Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

The early detection and accurate histopathological diagnosis of gastric cancer increase the chances of successful treatment. The worldwide shortage of pathologists offers a unique opportunity for the use of artificial intelligence assistance systems to alleviate the workload and increase diagnostic...

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Detalles Bibliográficos
Autores principales: Song, Zhigang, Zou, Shuangmei, Zhou, Weixun, Huang, Yong, Shao, Liwei, Yuan, Jing, Gou, Xiangnan, Jin, Wei, Wang, Zhanbo, Chen, Xin, Ding, Xiaohui, Liu, Jinhong, Yu, Chunkai, Ku, Calvin, Liu, Cancheng, Sun, Zhuo, Xu, Gang, Wang, Yuefeng, Zhang, Xiaoqing, Wang, Dandan, Wang, Shuhao, Xu, Wei, Davis, Richard C., Shi, Huaiyin
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/PMC7453200/
https://www.ncbi.nlm.nih.gov/pubmed/32855423
http://dx.doi.org/10.1038/s41467-020-18147-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453200/
https://www.ncbi.nlm.nih.gov/pubmed/32855423
http://dx.doi.org/10.1038/s41467-020-18147-8

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