A Weakly Supervised Deep Learning Model and Human–Machine Fusion for Accurate Grading of Renal Cell Carcinoma from Histopathology Slides

SIMPLE SUMMARY: Renal cell carcinoma causes over 179,000 deaths per year worldwide, and the Fuhrman grading (FG) system is crucial for diagnosing this deadly cancer. However, visual histopathological assessment is influenced by inter-observer variability and irreproducibility. In this study, we trai...

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Detalles Bibliográficos
Autores principales: Zheng, Qingyuan, Yang, Rui, Xu, Huazhen, Fan, Junjie, Jiao, Panpan, Ni, Xinmiao, Yuan, Jingping, Wang, Lei, Chen, Zhiyuan, Liu, Xiuheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296233/
https://www.ncbi.nlm.nih.gov/pubmed/37370808
http://dx.doi.org/10.3390/cancers15123198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296233/
https://www.ncbi.nlm.nih.gov/pubmed/37370808
http://dx.doi.org/10.3390/cancers15123198

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