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The document reviews the current state of radiomics and artificial intelligence in clinical oncology, highlighting their potential to enhance imaging assessments through the extraction of complex features from medical images. It discusses the challenges of variability in imaging data that hinder clinical translation and emphasizes the need for standardized protocols and collaborative efforts across institutions. The paper outlines the radiomics pipeline, including image acquisition, feature extraction, harm

Author

rachelmathilda10

Language

EN