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

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-nuclear...

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Detalles Bibliográficos
Autores principales: Xv, Yingjie, Lv, Fajin, Guo, Haoming, Zhou, Xiang, Tan, Hao, Xiao, Mingzhao, Zheng, Yineng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605949/
https://www.ncbi.nlm.nih.gov/pubmed/34800179
http://dx.doi.org/10.1186/s13244-021-01107-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605949/
https://www.ncbi.nlm.nih.gov/pubmed/34800179
http://dx.doi.org/10.1186/s13244-021-01107-1

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