{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/maskslic-regional-superpixel-generation-with","title":"maskSLIC: Regional Superpixel Generation with Application to Local Pathology Characterisation in Medical Images","arxiv_id":"1606.09518","date":"2016-06-30","proceeding":null,"authors":["Benjamin Irving"],"abstract":"Supervoxel methods such as Simple Linear Iterative Clustering (SLIC) are an\neffective technique for partitioning an image or volume into locally similar\nregions, and are a common building block for the development of detection,\nsegmentation and analysis methods. We introduce maskSLIC an extension of SLIC\nto create supervoxels within regions-of-interest, and demonstrate,on examples\nfrom 2-dimensions to 4-dimensions, that maskSLIC overcomes issues that affect\nSLIC within an irregular mask. We highlight the benefits of this method through\nexamples, and show that it is able to better represent underlying tumour\nsubregions and achieves significantly better results than SLIC on the BRATS\n2013 brain tumour challenge data (p=0.001) - outperforming SLIC on 18/20 scans.\nFinally, we show an application of this method for the analysis of functional\ntumour subregions and demonstrate that it is more effective than voxel\nclustering.","url_abs":"http://arxiv.org/abs/1606.09518v2","url_pdf":"http://arxiv.org/pdf/1606.09518v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"maskslic-regional-superpixel-generation-with","repo_url":"https://github.com/benjaminirving/maskSLIC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.09518","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}