Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self‐supervised deep learning

Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self‐supervised deep learning

Abstract Background Tumor mutation burden (TMB) and VHL mutation play a crucial role in the management of patients with clear cell renal cell carcinoma (ccRCC), such as guiding adjuvant chemotherapy and improving clinical outcomes. However, the time‐consuming and expensive high‐throughput sequencing...

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Bibliographic Details
Main Authors: Qingyuan Zheng, Xinyu Wang, Rui Yang, Junjie Fan, Jingping Yuan, Xiuheng Liu, Lei Wang, Zhuoni Xiao, Zhiyuan Chen
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Cancer Medicine
Subjects:
artificial intelligence
attention‐based multiple instance learning
clear cell renal cell carcinoma
self‐supervised learning
tumor mutation burden
VHL mutation
Online Access:https://doi.org/10.1002/cam4.70112
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https://doi.org/10.1002/cam4.70112

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