MRI-Based Grading of Clear Cell Renal Cell Carcinoma Using a Machine Learning Classifier

MRI-Based Grading of Clear Cell Renal Cell Carcinoma Using a Machine Learning Classifier

ObjectiveTo develop a machine learning (ML)-based classifier for discriminating between low-grade (ISUP I-II) and high-grade (ISUP III-IV) clear cell renal cell carcinomas (ccRCCs) using MRI textures.Materials and MethodsWe retrospectively evaluated a total of 99 patients (with 61 low-grade and 38 h...

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Bibliographic Details
Main Authors: Xin-Yuan Chen, Yu Zhang, Yu-Xing Chen, Zi-Qiang Huang, Xiao-Yue Xia, Yi-Xin Yan, Mo-Ping Xu, Wen Chen, Xian-long Wang, Qun-Lin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
machine learning
magnetic resonance imaging
texture analysis
clear cell renal cell carcinoma
multi-layer perceptron algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.708655/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.708655/full

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