[Insight-users] New Submission: Automated Walks using Machine Learning for Segmentation

[MIDAS Journal]

Hello,

A new submission has been added to the MIDAS Journal.

Title: Automated Walks using Machine Learning for Segmentation
Authors: Vyas S., Burlina P., Kleissas D., Mukherjee R.
Abstract: This paper describes an automated algorithm for segmentation
of brain structures (CSF, white matter, and gray matter) in MR
images. We employ machine learning, i.e. 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 a dataset of 12 diabetes patients with atrophy
and varying degrees of white matter lesions provided by the MRBrainS13
Challenge, and find encouraging segmentation performance.

Download and review this publication at: http://hdl.handle.net/10380/3437

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