Automated Walks using Machine Learning for Segmentation
نویسندگان
چکیده
This paper describes an automated algorithm for segmentation of brain structures (CSF, white matter, and gray matter) in MR images. We employ machine learning (using k -Nearest Neighbors) of features derived from k -means, Canny edge detection, and Tourist Walks to fully automate the seeding process of the Random Walker algorithm. We test our methods on the MRBrainS13 dataset, which consists of imagery from diabetes patients with atrophy and varying degrees of white matter lesions, and find encouraging segmentation performance.
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تاریخ انتشار 2013