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

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

(1) Background: The Fuhrman grading (FG) system is widely used in the management of clear cell renal cell carcinoma (ccRCC). However, it is affected by observer variability and irreproducibility in clinical practice. We aimed to use a deep learning multi-class model called SSL-CLAM to assist in diag...

Full description

Bibliographic Details
Main Authors: Qingyuan Zheng, Rui Yang, Huazhen Xu, Junjie Fan, Panpan Jiao, Xinmiao Ni, Jingping Yuan, Lei Wang, Zhiyuan Chen, Xiuheng Liu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Cancers
Subjects:
clear cell renal cell carcinoma
tumor grading
deep learning
whole slide image
human–machine fusion
Online Access:https://www.mdpi.com/2072-6694/15/12/3198

Internet

https://www.mdpi.com/2072-6694/15/12/3198

Similar Items