{"version":1,"kind":"Article","sha256":"","slug":"703","location":"","dependencies":[],"doi":"10.54294/263mqy","frontmatter":{"title":"Head and Neck Auto-segmentation Challenge","abstract":"This paper presents the results of the Head and Neck Auto-segmentationChallenge, which was part of the workshop “3D Segmentation in the Clinic: A Grand Challenge”. This workshop took place in London, UK, in September 2009, in conjunction with the 12th conference on Medical Image Computing and Computer Assisted Interventions (MICCAI). The aim of the challenge was to evaluate the performance of fully automated algorithms in segmenting the mandible and the brainstem in head and neck CT image data used in radiotherapy planning. We describe the motivation behind the clinical application selected for the challenge, the image data used, and the metrics applied for the quantitative assessment of the segmentation accuracy with respect to the ground truth segmentations provided by a clinical expert. The quantitative evaluation results of the auto-segmentations submitted by the workshop participants are included.","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":["automatic segmentation","radiotherapy planning"],"authors":[{"name":"Pekar, Vladimir","email":"vladimir.pekar@philips.com","affiliations":["Philips Research North America"],"corresponding":true},{"name":"Allaire, Stephane","affiliations":[]},{"name":"Kim, John","affiliations":[]},{"name":"Jaffray, David","affiliations":[]}],"date_submitted":"2009-11-19 14:21:10","external_publication_id":703,"revision_cids":["bafkreiarlhjtldpdqxiqk6v33ap4k56rc7ojgdvrrhw6wdeddbvtnovre4"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreih7xvpklzctubnwsd65gspiukpj46g23zlcs33qij24pjslca3ts4","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":5328,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreifnhowsmyzk452bqbsigiomdrhi7wdj2s72bzjalhamtzf22ubej4","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":197826,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11"]},"data":{"ref1":{"label":"ref1","enumerator":"1","html":"ca. 1"},"ref2":{"label":"ref2","enumerator":"2","html":"1"},"ref3":{"label":"ref3","enumerator":"3","html":"bigr.nl. 1"},"ref4":{"label":"ref4","enumerator":"4","html":"bigr.nl. 1"},"ref5":{"label":"ref5","enumerator":"5","html":" http://smial.sri.utoronto.ca/LV Challenge/Home.html. 1"},"ref6":{"label":"ref6","enumerator":"6","html":"nl. 1"},"ref7":{"label":"ref7","enumerator":"7","html":"AAM segmentation of the mandible and brainstem+net/10380/3097. 1+2009+3+K. Babalola+T. Cootes"},"ref8":{"label":"ref8","enumerator":"8","url":"https://doi.org/10.1016/s0167-8140(15)32781-x","html":"Active contourbased segmentation of head and neck with adaptive atlas selection+net/10380/3092. 2+2009+3+S. Gorthi+V. Duay+M. Bach Cuadra+P. Tercier+A.S. Allal+J. Thiran"},"ref9":{"label":"ref9","enumerator":"9","html":"Automatic segmentation of head and neck CT images by GPU- accelerated multi-atlas fusion+net/10380/3111. 3+2009+3+X. Han+L+N. O 'Connel+V. Willcut"},"ref10":{"label":"ref10","enumerator":"10","url":"https://doi.org/10.1007/978-3-540-70521-5_8","html":". Multi-object segmentation of head bones+net/10380/3099. 4+2009+3+D. Kainmueller+H. Lamecker+H. Seim+S. Zachow"},"ref11":{"label":"ref11","enumerator":"11","html":"Segmentation of head and neck CT scans using atlas-based level set method+net/10380/3094. 5+2009+3+X. Zhang+Y. Wu+J. Zheng+K. Deng"}}}}