{"id":"https://openalex.org/W4412764821","doi":"https://doi.org/10.1007/s11548-025-03490-2","title":"Meta-UNet: enhancing skin-lesion segmentation with multimodal feature integration and uncertainty estimation","display_name":"Meta-UNet: enhancing skin-lesion segmentation with multimodal feature integration and uncertainty estimation","publication_year":2025,"publication_date":"2025-07-30","ids":{"openalex":"https://openalex.org/W4412764821","doi":"https://doi.org/10.1007/s11548-025-03490-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/40736913"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-025-03490-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03490-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03490-2.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03490-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010817006","display_name":"O. K. Sikha","orcid":"https://orcid.org/0000-0002-3499-8062"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"O. K. Sikha","raw_affiliation_strings":["Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain. sikha.okkath@upf.edu"],"raw_orcid":"https://orcid.org/0000-0002-3499-8062","affiliations":[{"raw_affiliation_string":"Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain. sikha.okkath@upf.edu","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103192205","display_name":"A Stone","orcid":"https://orcid.org/0009-0006-3184-2149"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alaysia Leilani B. Stone","raw_affiliation_strings":["MIT Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I4210110987","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021143022","display_name":"Miguel \u00c1. Gonz\u00e1lez Ballester","orcid":"https://orcid.org/0000-0002-9227-6826"},"institutions":[{"id":"https://openalex.org/I11932220","display_name":"Instituci\u00f3 Catalana de Recerca i Estudis Avan\u00e7ats","ror":"https://ror.org/0371hy230","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I11932220"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel A. Gonz\u00e1lez Ballester","raw_affiliation_strings":["Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain","ICREA, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"ICREA, Barcelona, Spain","institution_ids":["https://openalex.org/I11932220"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010817006"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":{"value":4390,"currency":"USD","value_usd":4390},"apc_paid":{"value":4390,"currency":"USD","value_usd":4390},"fwci":1.0161,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78118696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"20","issue":"9","first_page":"1911","last_page":"1922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.015399999916553497,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.009499999694526196,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.8230177164077759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090482115745544},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6082029938697815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5249885320663452},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4635644853115082},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4247209429740906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3535018861293793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3354378044605255}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8230177164077759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090482115745544},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6082029938697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5249885320663452},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4635644853115082},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4247209429740906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3535018861293793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3354378044605255},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000071253","descriptor_name":"Metadata","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000071253","descriptor_name":"Metadata","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000071253","descriptor_name":"Metadata","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1007/s11548-025-03490-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03490-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03490-2.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:40736913","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40736913","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:europepmc.org:11284995","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12476315","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12476315/pdf/11548_2025_Article_3490.pdf","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/163790","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/163790","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Springer International Publishing","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12476315","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12476315/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11548-025-03490-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03490-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03490-2.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412764821.pdf","grobid_xml":"https://content.openalex.org/works/W4412764821.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2061253660","https://openalex.org/W2794825826","https://openalex.org/W2891994532","https://openalex.org/W2962914239","https://openalex.org/W2980190282","https://openalex.org/W2990069372","https://openalex.org/W2991523350","https://openalex.org/W2996290406","https://openalex.org/W2999580839","https://openalex.org/W3014974815","https://openalex.org/W3017153481","https://openalex.org/W3081752372","https://openalex.org/W3088257970","https://openalex.org/W3096812112","https://openalex.org/W3098712157","https://openalex.org/W3102785203","https://openalex.org/W3112701542","https://openalex.org/W3181545092","https://openalex.org/W3200640732","https://openalex.org/W3205816419","https://openalex.org/W4220888491","https://openalex.org/W4230153461","https://openalex.org/W4309718288","https://openalex.org/W4321232185","https://openalex.org/W4387602678","https://openalex.org/W4392284614","https://openalex.org/W4401753205","https://openalex.org/W4409248777","https://openalex.org/W4410838809","https://openalex.org/W6600213211"],"related_works":["https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248","https://openalex.org/W2768810474"],"abstract_inverted_index":{"PURPOSE:":[0],"Medical":[1],"image":[2,20],"segmentation":[3,24,179,194,215],"plays":[4],"a":[5,55,101],"crucial":[6],"role":[7],"in":[8,177],"diagnostic":[9,214],"pipelines.":[10,216],"This":[11],"study":[12],"investigates":[13],"the":[14,67,172,189],"integration":[15,43,71,176],"of":[16,69,174,202],"lesion-specific":[17,39,186],"metadata":[18,40,70,175,187,203],"with":[19,58],"data":[21],"to":[22,37,65,99,133,212],"enhance":[23],"accuracy":[25,125,180,195],"and":[26,49,87,117,126,135,146,159,181,196,207],"reduce":[27],"predictive":[28,198],"uncertainty.":[29,74,199],"METHODS:":[30],"The":[31,200],"standard":[32,111],"U-Net":[33,112,140,190],"architecture":[34,191],"was":[35,63,76,96],"modified":[36],"incorporate":[38],"(Meta-UNet).":[41],"Various":[42],"strategies,":[44],"including":[45],"addition,":[46,48],"weighted":[47],"embedding":[50],"layers,":[51],"were":[52],"evaluated.":[53],"Additionally,":[54],"Bayesian":[56],"Meta-UNet":[57,109,153,164],"Monte":[59],"Carlo":[60],"Dropout":[61],"(MCD)":[62],"developed":[64],"assess":[66],"impact":[68],"on":[72],"model":[73,182,205],"Uncertainty":[75],"quantified":[77],"using":[78],"measures":[79],"such":[80],"as":[81],"Confidence":[82],"Maps,":[83],"Entropy,":[84],"Mutual":[85],"Information,":[86],"Expected":[88],"Pairwise":[89],"Kullback-Leibler":[90],"divergence":[91],"(EPKL).":[92],"An":[93],"aggregation":[94],"strategy":[95],"also":[97],"introduced":[98],"provide":[100],"single":[102],"comprehensive":[103],"uncertainty":[104,166],"score":[105],"per":[106],"image.":[107],"RESULTS:":[108],"outperformed":[110],"across":[113],"PH2,":[114,121],"ISIC":[115,138],"2018,":[116,139],"HAM10000":[118],"datasets.":[119],"On":[120,137,151],"it":[122],"achieved":[123,154],"84.64%":[124],"90.62%":[127],"Intersection":[128],"over":[129],"Union":[130],"(IoU),":[131],"compared":[132],"83.36%":[134],"89.19%.":[136],"scored":[141],"71.02":[142],"\u00b1":[143,148,156,161],"6.69":[144],"IoU":[145,158],"79.89":[147],"5.09":[149],"Dice.":[150,163],"HAM10000,":[152],"88.66":[155],"6.09":[157],"93.42":[160],"5.19":[162],"reduced":[165],"(e.g.,":[167],"0.149":[168],"vs.":[169],"0.1745),":[170],"highlighting":[171],"benefit":[173],"improving":[178],"confidence.":[183],"CONCLUSION:":[184],"Integrating":[185],"into":[188],"significantly":[192],"improves":[193],"reduces":[197],"inclusion":[201],"enhances":[204],"confidence":[206],"reliability,":[208],"underscoring":[209],"its":[210],"potential":[211],"strengthen":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
