{"version":1,"kind":"Article","sha256":"","slug":"589","location":"","dependencies":[],"doi":"10.54294/xd06v0","frontmatter":{"title":"An entropy based multi-thresholding method for semi-automatic segmentation of liver tumors","abstract":"Liver cancer is the fifth most commonly diagnosed cancer and the third most common cause of death\r\nfrom cancer worldwide. A precise analysis of the lesions would help in the staging of the tumor and\r\nin the evaluation of the possible applicable therapies. In this paper we present the workflow we have\r\ndeveloped for the semi-automatic segmentation of liver tumors in the datasets provided for the MICCAI\r\nLiver Tumor Segmentation contest. Since we wanted to develop a system that could be as automatic\r\nas possible and to follow the segmentation process in every single step starting from the image loading\r\nto the lesion extraction, we decided to subdivide the workflow in two main steps: first we focus on the\r\nsegmentation of the liver and once we have extracted the organ structure we segment the lesions applying\r\nan adaptive multi-thresholding system.","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":["De-noising","Multi-thresholding","Liver tumors","Segmentation"],"authors":[{"name":"Choudhary, Anirudh","email":"ani.iitkgp@gmail.com","affiliations":[]},{"name":"Moretto, Nicola","affiliations":[]},{"name":"Pizzorni Ferrarese, Francesca","affiliations":[]},{"name":"Zamboni, Giulia A.","affiliations":[]}],"date_submitted":"2008-07-08T01:26:27Z","external_publication_id":589,"revision_cids":["bafkreicex4xffzputuhgrs26e2g5txg2jwgwrpscihg7fiuxrnx7dita4i"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreie2mxrtnxgloqwtbmsxvw6keh2i5rkxr4r6xvk5alo4usbnybofde","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":1039,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreie2x77joumgn6lppbqmck43vksarphgrvoxc2u7oszdn5comvz5ya","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":8201,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreibof3pqw4r67p6ktyhfkwp4gnvffjfsxbfhu65yprvsg5qtnyv7g4","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":672803,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12","ref13"]},"data":{"ref1":{"label":"ref1","enumerator":"1","html":"Technical report, Atlanta: American Cancer Society+2008"},"ref2":{"label":"ref2","enumerator":"2","html":"World health statistics 2008. 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