Current Methods in Medical Image Segmentation: A Review
نویسندگان
چکیده
In this paper, different approaches are discussed for medical image segmentation. These are based on thresholding, learning, modeling and automatic fuzzy method. Segmentation techniques, discussed under these approaches are used in different applications. In identification of brain lesions, vessel lumen segmentation and histopathology cancer image segmentation. Further used in tissue segmentation based upon image processing chain optimization, combining graph cut and oriented Active Appearance Model (AAM) and in brain image segmentation by using fuzzy symmetry. These techniques overcome various limitations of conventional medical image segmentation techniques.
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