Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

Objective: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for discriminating low and high nuclear grade clear cell renal cell carcinomas (cc-RCCs).Materials and Methods: This retrospective study included 53 pati...

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Bibliographic Details

Published in:	European Radiology Vol. 29; no. 3; pp. 1153 - 1164
Main Authors:	Bektas, Ceyda Turan, Kocak, Burak, Yardimci, Aytul Hande, Turkcanoglu, Mehmet Hamza, Yucetas, Ugur, Koca, Sevim Baykal, Erdim, Cagri, Kilickesmez, Ozgur
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Mar2019
Online Access:	View this record in EBSCOhost