Open AccessA CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma
Author(s) -
Yingjie Xv,
Fajin Lv,
Haoming Guo,
Zhaojun Liu,
Di Luo,
Jing Liu,
Xin Gou,
Weiyang He,
Mingzhao Xiao,
Yineng Zheng
Publication year - 2021
Publication title -
frontiers in oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.834
H-Index - 83
ISSN - 2234-943X
DOI - 10.3389/fonc.2021.712554
Subject(s) - nomogram , medicine , radiomics , receiver operating characteristic , logistic regression , radiology , radiological weapon , renal cell carcinoma , lasso (programming language) , feature selection , radiogenomics , nuclear medicine , oncology , artificial intelligence , computer science , world wide web
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