Cerebral hemorrhage segmentation with energy functional based on anatomy theory
Biomedical Signal Processing and Control（2022）
Abstract
•We combine the anatomy features with imaging features for the segmentation of actual cerebral hemorrhage images to provide effective information for clinical diagnosis.•We propose shape and area constraints, which are combined with the framework of energy functional to improve the accuracy of segmentation.
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Key words
Cerebral hemorrhage segmentation,CT images,Anatomy features,Imaging features,Energy functional
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