most citedNon-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning

118 citations · 118 across the 1 of their papers we have counts for

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1 paper

physics.med-ph2019★ 118 cited

Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning

Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar +4

Purpose: To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cells renal cell carcinoma (ccRCC) grade. Methods…