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This paper describes a 2-D automatic segmentation scheme for brainstem and cerebellum regions in brain MR images by using Ada-boosted and Active Contour Model technologies. The proposed scheme includes two processing stages: the detection process for the candidate regions and the segmentation process for the final contours. In the detection process, Ada-boosted technology has been used for three times...
A semi-automatic multiple-stage segmentation scheme of brainstem and cerebellum is proposed in this paper. This proposed scheme contains a modified scale-based fuzzy connectedness (FC) algorithm, a morphology operator, Chain code, and active contour mode (ACM). A modified scale-based FC is utilized to delivery a rough segmentation, a morphology operator and Chain code are used to compensate the uncompleted...
The researches about upper limb palsy patients are the minority areas among the researches about cerebral palsy (CP) patients. This paper presents an upper-limb-movement classification system of cerebral palsy children based on their arm motion information to judge their impairment degree. The system contains three parts: image capture, image segmentation, and information classification processing...
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