Abstract:The aim of this study was to explore the adoption of computerized tomography (CT) based on machine learning in the diagnosis and treatment of cerebral hemorrhage. A total of 150 patients with hypertensive intracerebral hemorrhage who underwent surgical treatment in hospital in the recent three years were selected. All patients underwent brain CT examination, and image data were collected. FCM, DRLSRE, FCRLS, and other algorithms were utilized to segment the patient’s bleeding region, and the segmentation perfo… Show more
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