THE PREDICTIVE VALUE OF RADIOMICS AND DEEP LEARNING FOR SYNCHRONOUS DISTANT METASTASIS IN CLEAR CELL RENAL CELL CARCINOMA

The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma

Abstract Objective The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).Methods A total of 143 ccRCC patients were included in the training cohort, and 6

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