CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma

CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma

BackgroundClear cell Renal Cell Carcinoma (ccRCC) is the most common malignant tumor in the urinary system and the predominant subtype of malignant renal tumors with high mortality. Biopsy is the main examination to determine ccRCC grade, but it can lead to unavoidable complications and sampling bia...

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Bibliographic Details
Main Authors: Meiyi Yang, Xiaopeng He, Lifeng Xu, Minghui Liu, Jiali Deng, Xuan Cheng, Yi Wei, Qian Li, Shang Wan, Feng Zhang, Lei Wu, Xiaomin Wang, Bin Song, Ming Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
tumor grading
ensemble learning
clear cell renal cell carcinoma
transformer network
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.961779/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.961779/full

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