Assessment of deep learning assistance for the pathological diagnosis of gastric cancer

Previous studies on deep learning (DL) applications in pathology have focused on pathologist-versus-algorithm comparisons. However, DL will not replace the breadth and contextual knowledge of pathologists; rather, only through their combination may the benefits of DL be achieved. A fully crossed mul...

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Detalles Bibliográficos
Autores principales: Ba, Wei, Wang, Shuhao, Shang, Meixia, Zhang, Ziyan, Wu, Huan, Yu, Chunkai, Xing, Ranran, Wang, Wenjuan, Wang, Lang, Liu, Cancheng, Shi, Huaiyin, Song, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424110/
https://www.ncbi.nlm.nih.gov/pubmed/35396459
http://dx.doi.org/10.1038/s41379-022-01073-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424110/
https://www.ncbi.nlm.nih.gov/pubmed/35396459
http://dx.doi.org/10.1038/s41379-022-01073-z

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