{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/spinal-cord-gray-matter-segmentation-using","title":"Spinal cord gray matter segmentation using deep dilated convolutions","arxiv_id":"1710.01269","date":"2017-10-02","proceeding":null,"authors":["Christian S. Perone","Evan Calabrese","Julien Cohen-Adad"],"abstract":"Gray matter (GM) tissue changes have been associated with a wide range of\nneurological disorders and was also recently found relevant as a biomarker for\ndisability in amyotrophic lateral sclerosis. The ability to automatically\nsegment the GM is, therefore, an important task for modern studies of the\nspinal cord. In this work, we devise a modern, simple and end-to-end fully\nautomated human spinal cord gray matter segmentation method using Deep\nLearning, that works both on in vivo and ex vivo MRI acquisitions. We evaluate\nour method against six independently developed methods on a GM segmentation\nchallenge and report state-of-the-art results in 8 out of 10 different\nevaluation metrics as well as major network parameter reduction when compared\nto the traditional medical imaging architectures such as U-Nets.","url_abs":"http://arxiv.org/abs/1710.01269v1","url_pdf":"http://arxiv.org/pdf/1710.01269v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"spinal-cord-gray-matter-segmentation-using","repo_url":"https://github.com/neuropoly/multiclass-segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"medical-image-segmentation","task_name":"Medical Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":null,"task_name":"Spinal Cord Gray Matter - Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.01269","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}