Original paper
Spinal cord gray matter segmentation using deep dilated convolutions.
Abstract
Gray matter (GM) tissue changes have been associated with a wide range of neurological disorders and were recently found relevant as a biomarker for disability in amyotrophic lateral sclerosis. The ability to automatically segment the GM is, therefore, an important task for modern studies of the spinal cord. In this work, we devise a modern, simple and end-to-end fully-automated human spinal cord gray matter segmentation method using Deep...
Paper Details
Title
Spinal cord gray matter segmentation using deep dilated convolutions.
Published Date
Apr 13, 2018
Journal
Volume
8
Issue
1
Pages
5966 - 5966
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Notes
History