Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study

Abstract Purpose To investigate the predictive performance of machine learning-based CT radiomics for differentiating between low- and high-nuclear grade of clear cell renal cell carcinomas (CCRCCs). Methods This retrospective study enrolled 406 patients with pathologically confirmed low- and high-n...

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Autores principales: Yingjie Xv, Fajin Lv, Haoming Guo, Xiang Zhou, Hao Tan, Mingzhao Xiao, Yineng Zheng
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/f4995fb21ba840a19dd8aef54220e3fe
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