{"version":1,"kind":"Article","sha256":"","slug":"609","location":"","dependencies":[],"doi":"10.54294/sljnc2","frontmatter":{"title":"Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge","abstract":"Automatically segmenting subcortical structures in brain images has the potential to greatly accelerate drug trials and population studies of disease. Here we propose an automatic subcortical segmentation algorithm using the auto context model. Unlike many segmentation algorithms that separately compute a shape prior and an image appearance model, we develop a framework based on machine learning to learn a unified appearance and context model. In order to test the method, specificity and sensitivity measurements were obtained on a standardized dataset provided by the competition organizers. Our overall score of 77 seems to be competitive with others who's overall score was in the range of 50 - 90.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["Automated Segmentation","AdaBoost","Machine Learning"],"authors":[{"name":"Morra, Jonathan","email":"jonmorra@gmail.com","affiliations":["Laboratory of NeuroImaging at UCLA"],"corresponding":true},{"name":"Tu, Zhuowen","affiliations":[]},{"name":"Toga, Arthur","affiliations":[]},{"name":"Thompson, Paul","affiliations":[]}],"date_submitted":"2008-07-14T18:02:18Z","external_publication_id":609,"revision_cids":["bafkreibw57y4szhklnc25nlqmqmlqsszwxtioc26yzva6pbaqmwflp34l4"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreigc67s3rirj3kaisyihjr7qsy4j7ykubhrgcbvffjtupkse7ijznu","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":1894,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreichuj2j4zhdfiiqpa5cq65ouezrtfid3mlwfnap3ufcl2ov36hjgq","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":8954,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreieq6mu6ndicl6k7pxblzb5ntjwapdbqh7anwrxmu5rmk5wnpbbjdu","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":108171,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1007/978-3-540-85988-8_24","html":"Automatic subcortical segmentation using a contextual model+In MICCAI+2008+J.H. 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