Deep Learning-Based Universal Expert-Level Recognizing Pathological Images of Hepatocellular Carcinoma and Beyond

BACKGROUND AND AIMS: We aim to develop a diagnostic tool for pathological-image classification using transfer learning that can be applied to diverse tumor types. METHODS: Microscopic images of liver tissue with and without hepatocellular carcinoma (HCC) were used to train and validate the classific...

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Detalles Bibliográficos
Autores principales: Chen, Wei-Ming, Fu, Min, Zhang, Cheng-Ju, Xing, Qing-Qing, Zhou, Fei, Lin, Meng-Jie, Dong, Xuan, Huang, Jiaofeng, Lin, Su, Hong, Mei-Zhu, Zheng, Qi-Zhong, Pan, Jin-Shui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072864/
https://www.ncbi.nlm.nih.gov/pubmed/35530044
http://dx.doi.org/10.3389/fmed.2022.853261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072864/
https://www.ncbi.nlm.nih.gov/pubmed/35530044
http://dx.doi.org/10.3389/fmed.2022.853261

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