{"id":"https://openalex.org/W7161753419","doi":"https://doi.org/10.1109/isbi61048.2026.11515720","title":"Shape-Aware Multi-Task Instance Segmentation for Tubules in Renal Histology","display_name":"Shape-Aware Multi-Task Instance Segmentation for Tubules in Renal Histology","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161753419","doi":"https://doi.org/10.1109/isbi61048.2026.11515720"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136611717","display_name":"Meryem Sikouky","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Meryem Sikouky","raw_affiliation_strings":["Université Côte d'Azur, INRIA, CNRS, I3S, INSERM, IBV,Sophia Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d'Azur, INRIA, CNRS, I3S, INSERM, IBV,Sophia Antipolis,France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136602879","display_name":"Giorgio Toni","orcid":null},"institutions":[{"id":"https://openalex.org/I3018988418","display_name":"Centre Hospitalier Universitaire de Nice","ror":"https://ror.org/05qsjq305","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3018988418"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Giorgio Toni","raw_affiliation_strings":["CHU Nice, Université Côte d'Azur,Department of Pathology,Nice,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CHU Nice, Université Côte d'Azur,Department of Pathology,Nice,France","institution_ids":["https://openalex.org/I3018988418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031161800","display_name":"Francesco Ponzio","orcid":"https://orcid.org/0000-0002-8472-8247"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Ponzio","raw_affiliation_strings":["Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136542177","display_name":"Damien Ambrosetti","orcid":null},"institutions":[{"id":"https://openalex.org/I3018988418","display_name":"Centre Hospitalier Universitaire de Nice","ror":"https://ror.org/05qsjq305","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3018988418"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damien Ambrosetti","raw_affiliation_strings":["CHU Nice, Université Côte d'Azur,Department of Pathology,Nice,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CHU Nice, Université Côte d'Azur,Department of Pathology,Nice,France","institution_ids":["https://openalex.org/I3018988418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136519714","display_name":"Xavier Descombes","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Descombes","raw_affiliation_strings":["Université Côte d'Azur, INRIA, CNRS, I3S, INSERM, IBV,Sophia Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d'Azur, INRIA, CNRS, I3S, INSERM, IBV,Sophia Antipolis,France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5136611717"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I154526488"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.9287746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.38440001010894775,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.38440001010894775,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.16099999845027924,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.11599999666213989,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histology","display_name":"Histology","score":0.49799999594688416},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43230000138282776},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.34040001034736633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25459998846054077}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5325000286102295},{"id":"https://openalex.org/C57742111","wikidata":"https://www.wikidata.org/wiki/Q7168","display_name":"Histology","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.4530999958515167},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.33730000257492065},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.32249999046325684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2777000069618225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2653000056743622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2787091153","https://openalex.org/W2808825376","https://openalex.org/W2963677766","https://openalex.org/W2974825848","https://openalex.org/W4360770906","https://openalex.org/W4387369035","https://openalex.org/W4389430914","https://openalex.org/W4391109864","https://openalex.org/W4392383209"],"related_works":[],"abstract_inverted_index":{"In":[0,55],"recent":[1],"years,":[2],"deep":[3,63,130],"learning":[4,131],"has":[5],"improved":[6],"the":[7,23,46,121],"instance":[8,15],"segmentation":[9,16],"of":[10,28,48],"histology":[11,119],"images.":[12],"However,":[13],"existing":[14],"networks":[17],"often":[18],"struggle":[19],"to":[20,45,89,128],"accurately":[21],"capture":[22],"intricate":[24],"geometry":[25],"and":[26,70,78,136],"topology":[27],"tubular":[29],"structures.":[30],"Conventional":[31],"methods":[32],"that":[33,65,74,110],"rely":[34],"solely":[35],"on":[36,116,134],"semantic":[37,68],"approaches,":[38],"boundary":[39,79],"or":[40,51],"distance":[41],"maps":[42],"remain":[43],"susceptible":[44],"merging":[47],"adjacent":[49],"instances":[50,103],"breakings":[52],"in":[53],"connectivity.":[54],"this":[56],"paper,":[57],"we":[58,111],"introduce":[59],"a":[60,108],"geometry-aware":[61],"multi-task":[62],"network":[64],"concurrently":[66],"predicts":[67],"probability":[69],"an":[71],"energy":[72],"map":[73],"encodes":[75],"both":[76],"skeleton":[77],"information.":[80],"The":[81,143],"proposed":[82,122],"multitask":[83],"framework":[84],"utilizes":[85],"distance-based":[86],"geometric":[87],"supervision":[88],"incorporate":[90],"structural":[91],"priors,":[92],"thereby":[93],"enhancing":[94],"topological":[95],"continuity":[96],"while":[97],"maintaining":[98],"object":[99],"separation.":[100],"During":[101],"inference,":[102],"are":[104],"recovered":[105],"automatically":[106],"via":[107],"module":[109],"call":[112],"cross-talk.":[113],"When":[114],"tested":[115],"renal":[117],"tubule":[118],"data,":[120],"approach":[123],"demonstrates":[124],"superior":[125],"performance":[126],"compared":[127],"state-of-the-art":[129],"models":[132],"based":[133],"panoptic-style":[135],"boundary-sensitive":[137],"metrics,":[138],"with":[139],"minimal":[140],"architectural":[141],"complexity.":[142],"code":[144],"will":[145],"be":[146],"released.":[147]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}