{"id":31910,"date":"2026-07-15T11:21:29","date_gmt":"2026-07-15T09:21:29","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=31910"},"modified":"2026-07-15T11:31:36","modified_gmt":"2026-07-15T09:31:36","slug":"segmenting-the-inferior-alveolar-canal-in-cbcts-volumes-the-toothfairy-challenge","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/segmenting-the-inferior-alveolar-canal-in-cbcts-volumes-the-toothfairy-challenge\/","title":{"rendered":"Segmenting the Inferior Alveolar Canal in CBCTs Volumes: the ToothFairy Challenge"},"content":{"rendered":"\n<p class=\"eplus-wrapper wp-block-paragraph\">Accurate segmentation of the Inferior Alveolar Canal (IAC) in Cone-Beam Computed Tomography (CBCT) scans is a clinically important yet technically demanding task. Despite growing interest in automated approaches, the field has long lacked publicly available datasets and standardized benchmarks, making systematic comparison between methods difficult.<\/p>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">To address this gap, the ToothFairy challenge was organized as part of the MICCAI 2023 conference. A dedicated public dataset of 443 CBCT scans was released, with voxel-level IAC annotations available for 153 of them \u2014 the largest resource of its kind to date. Participants were challenged to develop algorithms capable of accurately identifying the IAC from both 2D and 3D annotated data.<\/p>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">This paper documents the challenge in detail and evaluates the most promising submitted solutions, offering the first comprehensive comparison of IAC segmentation methods on a shared benchmark. Beyond summarizing the current state of the art, the authors identify key open challenges and outline directions for future research. To support reproducibility and continued development, an open-source repository collecting the best-performing implementations has also been made available.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Published by an international team of researchers<\/strong>. Among the co-authors are Sano scientists: Tomasz Szczepa\u0144ski, Michal K. Grzeszczyk and Przemyslaw Korzeniowski.<a href=\"https:\/\/orcid.org\/0000-0001-5391-1295\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/orcid.org\/0000-0001-6189-478X\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n\t\n    \n        \n\t\t\t<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10816445\" target=\"_blank\" rel= \"noopener noreferrer nofollow\" class=\"button primary \">\n\n\t\t\t\t<span>\n\t\t\t\t\tRead the article\n\t\t\t\t<\/span>\n\n\t\t\t<\/a>\n\n        \n    \n","protected":false},"excerpt":{"rendered":"<p>IEEE Transactions on Medical Imaging, 2025<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[8],"research_team":[17],"class_list":["post-31910","research","type-research","status-publish","hentry","research_type-publications","research_team-health-informatics-group-higs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.0 (Yoast SEO v28.0) - 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Despite growing interest in automated approaches, the field has long lacked publicly available datasets and standardized benchmarks, making systematic comparison between methods difficult.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Accurate segmentation of the Inferior Alveolar Canal (IAC) in Cone-Beam Computed Tomography (CBCT) scans is a clinically important yet technically demanding task. Despite growing interest in automated approaches, the field has long lacked publicly available datasets and standardized benchmarks, making systematic comparison between methods difficult.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-28eVss","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">To address this gap, the ToothFairy challenge was organized as part of the MICCAI 2023 conference. A dedicated public dataset of 443 CBCT scans was released, with voxel-level IAC annotations available for 153 of them \u2014 the largest resource of its kind to date. Participants were challenged to develop algorithms capable of accurately identifying the IAC from both 2D and 3D annotated data.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">To address this gap, the ToothFairy challenge was organized as part of the MICCAI 2023 conference. A dedicated public dataset of 443 CBCT scans was released, with voxel-level IAC annotations available for 153 of them \u2014 the largest resource of its kind to date. Participants were challenged to develop algorithms capable of accurately identifying the IAC from both 2D and 3D annotated data.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-jTntAc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This paper documents the challenge in detail and evaluates the most promising submitted solutions, offering the first comprehensive comparison of IAC segmentation methods on a shared benchmark. Beyond summarizing the current state of the art, the authors identify key open challenges and outline directions for future research. To support reproducibility and continued development, an open-source repository collecting the best-performing implementations has also been made available.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This paper documents the challenge in detail and evaluates the most promising submitted solutions, offering the first comprehensive comparison of IAC segmentation methods on a shared benchmark. Beyond summarizing the current state of the art, the authors identify key open challenges and outline directions for future research. To support reproducibility and continued development, an open-source repository collecting the best-performing implementations has also been made available.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-vFQbpj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-jTntAc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Published by an international team of researchers<\/strong>. Among the co-authors are Sano scientists: Tomasz Szczepa\u0144ski, Michal K. Grzeszczyk and Przemyslaw Korzeniowski.<a href=\"https:\/\/orcid.org\/0000-0001-5391-1295\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/orcid.org\/0000-0001-6189-478X\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Published by an international team of researchers<\/strong>. Among the co-authors are Sano scientists: Tomasz Szczepa\u0144ski, Michal K. Grzeszczyk and Przemyslaw Korzeniowski.<a href=\"https:\/\/orcid.org\/0000-0001-5391-1295\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/orcid.org\/0000-0001-6189-478X\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-0l7Odf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"acf\/button","attrs":{"title":"Read the article","button_type":"link","url":"https:\/\/ieeexplore.ieee.org\/document\/10816445","button_style":"primary","target":"_blank","button_extra_classes":""},"innerBlocks":[],"innerHTML":"","innerContent":[]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/31910","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":11,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/31910\/revisions"}],"predecessor-version":[{"id":31928,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/31910\/revisions\/31928"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=31910"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=31910"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=31910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}