{"version":1,"kind":"Article","sha256":"","slug":"603","location":"","dependencies":[],"doi":"10.54294/lwmcho","frontmatter":{"title":"Liver Tumor Segmentation Using Implicit Surface Evolution","abstract":"A method for automatic liver tumor segmentation from computer tomography (CT) images is presented in this paper. Segmentation is an important operation before surgery planning, and automatic methods offer an alternative to laborious manual segmentation. In addition, segmentations of automatic methods are reproducible, so they can be reliably evaluated and they do not depend on the performer of the segmentation. In this work, the segmentation is performed in two stages. First a rough segmentation of tumors is obtained by simple thresholding and morphological operations. \r\nThe second stage refines the rough segmentation result using fuzzy clustering and a geometric deformable model (GDM) that is fitted on the clustering result. \r\nThe method was evaluated with data provided by Liver Tumor Segmentation Challenge 08, to which the method also participated. The data included 10 \r\nimages from which 20 tumors were segmented. The method showed promising results.","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":[],"authors":[{"name":"Hame, Yrjo","affiliations":[]}],"date_submitted":"2008-07-10T17:27:09Z","external_publication_id":603,"revision_cids":["bafkreicchbp7stziywqbziq4gxoneb767kswzwqswylly2pedqxaus64r4"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreic7re7woewzcjaalp4jjwvyypyg6xjpsbvst6ubvtgobqj2ohse5e","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":8113,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreidavzfji5vjxtfb2nz52pjwjhsngyu4zpgelfxqbtv77q47tn65m4","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":817,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreifoxr5zbqy5ytrkbfjjsama3idx7i6rv4k3hkgrle6mrgurqtwryu","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":993636,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12","ref13","ref14","ref15"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1007/978-3-540-73055-2_8","html":"Automatic Segmentation of Single and Multiple Neoplastic Hepatic Lesions in CT Images+LNCS+4528+63+71+2007+M. 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