July 11, 2020 (v1)
Conference paper
Objectives: Most supervised learning approaches currently applied in radiomics consist in classifying patients in groups (eg, responder versus non-responder, short overall survival versus long overall survival). With these methods, individual information from each patient is used only to assign a patient to a group. To preserve detailed...
Uploaded on: December 4, 2022