Abstract 5435: Correlating and combining computational radiomics, deep radiomics and transcriptomics data in soft-tissue sarcomas (STS) patients highlight complementary prognostic information
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DOI: 10.1158/1538-7445.am2023-5435
Abstract: Introduction: STS are mostly prognosticated through nomograms relying on age, size, histotype and grade. Radiomics approaches, complemented with deep-learning, deep-radiomics and gene-expression profiling, could help understanding the bridge between STS radiophenotypes and molecular features and… read more here.
Keywords: complementary prognostic; radiomics deep; computational radiomics; deep radiomics ... See more keywords