{"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/automatic-skin-lesion-segmentation-with-fully","title":"Automatic skin lesion segmentation with fully convolutional-deconvolutional networks","arxiv_id":"1703.05165","date":"2017-03-15","proceeding":null,"authors":["Yading Yuan"],"abstract":"This paper summarizes our method and validation results for the ISBI\nChallenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I:\nLesion Segmentation","url_abs":"http://arxiv.org/abs/1703.05165v2","url_pdf":"http://arxiv.org/pdf/1703.05165v2.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":"automatic-skin-lesion-segmentation-with-fully","repo_url":"https://github.com/manideep2510/melanoma_segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"lesion-segmentation","task_name":"Lesion Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"skin-lesion-segmentation","task_name":"Skin Lesion Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/lesion-segmentation-on-isic-2017","task":"Lesion Segmentation","dataset":"ISIC 2017","model":"Automatic skin lesion segmentation with fully convolutional-deconvolutional networks","rank_in_archive_order":1,"of":1,"metrics":{"Mean IoU":"0.765"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}