AUTHOR=Deng Zhikang , Dong Wentao , Xiong Situ , Jin Di , Zhou Hongzhang , Zhang Ling , Xie LiHan , Deng Yaohong , Xu Rong , Fan Bing 

TITLE=Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer

JOURNAL=Frontiers in Oncology

VOLUME=Volume 13 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1166245

DOI=10.3389/fonc.2023.1166245

ISSN=2234-943X

ABSTRACT=The purpose of this research was to develop a nomogram that combines several radiomic features to predict the pathological grade of bladder cancer (BCa) using non-enhanced computed tomography (NE-CT) scanning images before surgery.