{"version":1,"kind":"Article","sha256":"","slug":"611","location":"","dependencies":[],"doi":"10.54294/0ypjxr","frontmatter":{"title":"3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation","abstract":"This document examines the application of a new parametric method on the segmentation of MS \r\nlesions in brain sMRI, as applied to the data provided for the MS Lesion Segmentation Challenge at \r\nMICCAI 2008. The method uses the vector image joint histogram, built over a training set, as an explicit \r\nmodel of the feature vectors indicating lesion. The histogram is used to predict lesions in the test data by \r\nlabeling feature vectors consistent with lesion feature vectors in the training set. The results are evaluated \r\nusing STAPLE to compare against two separate human raters.","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":["lesion","challenge","joint histogram","segmentation","MICCAI","multiple sclerosis"],"authors":[{"name":"Scully, Mark","email":"mscully@mrn.org","affiliations":["The Mind Research Network"],"corresponding":true},{"name":"Magnotta, Vince","email":"vincent-magnotta@uiowa.edu","affiliations":[]},{"name":"Gasparovic, Charles","affiliations":[]},{"name":"Pelligrimo, Peter","affiliations":[]},{"name":"Feis, Delia","affiliations":[]},{"name":"Bockholt, H. Jeremy","affiliations":[]}],"date_submitted":"2008-07-14T21:32:58Z","external_publication_id":611,"revision_cids":["bafkreidv2gcgb3d67jxjjy5aogoik3x76vllnvuilef3evmqszwyluslxu"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreidireyq45x3jwinxbmjh5wb754x2soznl2pa3r25u3c6oqvbori5e","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":2592,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreigbvubk77zv3dvjkytql62kpefswvvce5f3zz25fxnq7d522fyufa","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":9698,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreia7zrbjyg6cahfgrtb7bd2h62yoywrbsnbh67slreczx5knic33qq","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":213193,"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/10.1109/icip.1995.537491","html":"Dynamic histogram warping of image pairs for constant image brightness+In ICIP+2366+2369+1995+J. 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