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Detection and severity assessment of subdural hematoma is a major step in the evaluation of traumatic brain injuries. This is a retrospective study of 110 computed tomography (CT) scans from patients admitted to the Michigan Medicine Neurological Intensive Care Unit or Emergency Department. A machine learning pipeline was developed to segment and assess the severity of subdural hematoma. First, the probability of each point belonging to the hematoma region was determined using a combination ofdoi:10.3390/diagnostics10100773 pmid:33007929 pmcid:PMC7600198 fatcat:2dgmv3aydzhlbgtuwlevazuwcy