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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

Matthew R. Orton, Evan Hann,Simon J. Doran,Scott T. C. Shepherd,Derfel Ap Dafydd,Charlotte E. Spencer,José I. López,Víctor Albarrán-Artahona,Francesca Comito,Hannah Warren,Joshua Shur,Christina Messiou,James Larkin,Samra Turajlic,Dow-Mu Koh

CANCER IMAGING（2023）

Cited 5|Views22
Key words
Radiomics,Radiogenomics,Histology,Interpretable,Machine learning,Feature selection,Group selection,Renal cancer,Nested validation,Molecular subtyping
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