{"version":1,"kind":"Article","sha256":"","slug":"590","location":"","dependencies":[],"doi":"10.54294/rfkjix","frontmatter":{"title":"Semi-automatic Segmentation of 3D Liver Tumors from CT Scans Using Voxel Classification and Propagational Learning","abstract":"A semi-automatic scheme was developed for the segmentation of 3D liver tumors from computed tomography (CT) images. First a support vector machine (SVM) classifier was trained to extract tumor region from one single 2D slice in the intermediate part of a tumor by voxel classification. Then the extracted tumor contour, after some morphological operations, was projected to its neighboring slices for automated sampling, learning and further voxel classification in neighboring slices. This propagation procedure continued till all tumor-containing slices were processed. The method was tested using 3D CT images with 10 liver tumors and a set of quantitative measures were computed, resulted in an averaged overall performance score of 72.","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":["image segmentation","liver tumor","computed tomography","support vector machine"],"authors":[{"name":"Zhou, Jiayin","email":"jiayin.zhou@gmail.com","affiliations":["National University of Singapore"],"corresponding":true},{"name":"Xiong, Wei","affiliations":[]},{"name":"Tian, Qi","affiliations":[]},{"name":"Qi, Yingyi","affiliations":[]},{"name":"Liu, Jiang","affiliations":[]},{"name":"Leow, Wee Keng","affiliations":[]},{"name":"Han, Thazin","affiliations":[]},{"name":"Venkatesh, Sudhakar","affiliations":[]},{"name":"Wang, Shih-chang","affiliations":[]}],"date_submitted":"2008-07-07T14:32:21Z","external_publication_id":590,"revision_cids":["bafkreig5ke7b7aa2g7slwp2aom2dzxulzuflypkdkr4tvtdauj7r2pmcmy"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreia34vzmcky5mfgex3kdqq4odctwoyuiviaid3i2viqmluhbqr32tu","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":7798,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreiddbxbhscpomyuvffy6isue4sfmamo7xa5hnzscxm7qyn5fxz7gta","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":1044,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreidnq5rwpf53taa5sk3q3jtcposklzlelyfelsykvn3urx2zo2td6e","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":962515,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10"]},"data":{"ref1":{"label":"ref1","enumerator":"1","html":"Computerized tomography in the quantitative assessment of tumour response+Br. 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