Interpretability of Radiomics Models is Improved when Using Feature Group Selection Strategies for Predicting Molecular and Clinical Targets in Clear-Cell Renal Cell Carcinoma: Insights from the TRACERx Renal Study
CANCER IMAGING（2023）
关键词
Radiomics,Radiogenomics,Histology,Interpretable,Machine learning,Feature selection,Group selection,Renal cancer,Nested validation,Molecular subtyping
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