{"id":"https://openalex.org/W4411055001","doi":"https://doi.org/10.1109/jbhi.2025.3541849","title":"Multi-Objective Evolutionary Optimization Boosted Deep Neural Networks for Few-Shot Medical Segmentation With Noisy Labels","display_name":"Multi-Objective Evolutionary Optimization Boosted Deep Neural Networks for Few-Shot Medical Segmentation With Noisy Labels","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4411055001","doi":"https://doi.org/10.1109/jbhi.2025.3541849","pmid":"https://pubmed.ncbi.nlm.nih.gov/40471744"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3541849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3541849","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hanbei Li","orcid":"https://orcid.org/0009-0008-4313-5091"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbei Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-4313-5091","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433427","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-8364-7878"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8364-7878","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102379314","display_name":"Qiang Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152119","display_name":"Jiangsu Province Hospital","ror":"https://ror.org/04py1g812","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152119"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zuo","raw_affiliation_strings":["Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210152119","https://openalex.org/I83519826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1177,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86811536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":"6","first_page":"4362","last_page":"4373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.6816999912261963,"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"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.6816999912261963,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.642799973487854,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5946000218391418,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7135622501373291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728878021240234},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5459685325622559},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5117244720458984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49300262331962585},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4764952063560486},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4490797519683838},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.43919551372528076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3823855519294739}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7135622501373291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728878021240234},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5459685325622559},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5117244720458984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49300262331962585},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4764952063560486},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4490797519683838},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.43919551372528076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3823855519294739},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3541849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3541849","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40471744","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40471744","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1994062553","https://openalex.org/W2126105956","https://openalex.org/W2131962700","https://openalex.org/W2734349601","https://openalex.org/W2752517284","https://openalex.org/W2752782242","https://openalex.org/W2927980542","https://openalex.org/W2943666912","https://openalex.org/W2954234207","https://openalex.org/W2962914239","https://openalex.org/W2963136578","https://openalex.org/W2963697299","https://openalex.org/W2979808779","https://openalex.org/W2981873476","https://openalex.org/W2997286550","https://openalex.org/W3001560541","https://openalex.org/W3006052202","https://openalex.org/W3034552520","https://openalex.org/W3035086596","https://openalex.org/W3035470482","https://openalex.org/W3042609801","https://openalex.org/W3110687497","https://openalex.org/W3131362130","https://openalex.org/W3146366485","https://openalex.org/W3155710154","https://openalex.org/W3162561301","https://openalex.org/W3169228979","https://openalex.org/W3177052299","https://openalex.org/W3183229916","https://openalex.org/W3192682950","https://openalex.org/W4205182665","https://openalex.org/W4210873086","https://openalex.org/W4211031152","https://openalex.org/W4226334005","https://openalex.org/W4255158661","https://openalex.org/W4282915608","https://openalex.org/W4289752563","https://openalex.org/W4295788789","https://openalex.org/W4312526008","https://openalex.org/W4312653100","https://openalex.org/W4312901617","https://openalex.org/W4313196086","https://openalex.org/W4321479797","https://openalex.org/W4384300009","https://openalex.org/W4390738800","https://openalex.org/W4390873519","https://openalex.org/W4394625654","https://openalex.org/W4396973073","https://openalex.org/W4402703098","https://openalex.org/W6618372016","https://openalex.org/W6754005058","https://openalex.org/W6762892961","https://openalex.org/W6796538260"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W1522196789","https://openalex.org/W4379141755"],"abstract_inverted_index":{"Fully-supervised":[0],"deep":[1],"neural":[2],"networks":[3],"have":[4],"achieved":[5],"remarkable":[6],"progress":[7],"in":[8],"medical":[9],"image":[10],"segmentation,":[11],"yet":[12],"they":[13],"heavily":[14],"rely":[15],"on":[16],"extensive":[17],"manually":[18,196],"labeled":[19,40],"data":[20],"and":[21,69,99,199],"exhibit":[22],"inflexibility":[23],"for":[24,64,82,96,116,152],"unseen":[25,35],"tasks.":[26,122],"Few-shot":[27],"segmentation":[28],"(FSS)":[29],"addresses":[30],"these":[31,153],"issues":[32],"by":[33],"predicting":[34],"classes":[36],"from":[37,56,109],"a":[38,77,88,137,143,175],"few":[39],"support":[41],"examples.":[42],"However,":[43],"most":[44],"existing":[45],"FSS":[46,83],"models":[47],"struggle":[48],"to":[49,51,105,147,161,169,185],"generalize":[50],"diverse":[52,114],"target":[53,121,129,154],"tasks":[54,66,155],"distinct":[55],"training":[57],"domains.":[58],"Furthermore,":[59,160],"designing":[60],"promising":[61],"network":[62],"architectures":[63,104,151,198],"such":[65],"is":[67],"expertise-intensive":[68],"laborious.":[70],"In":[71],"this":[72,157],"paper,":[73],"we":[74,86,131,173],"introduce":[75],"MOE-FewSeg,":[76],"novel":[78],"automatic":[79],"design":[80],"method":[81],"architectures.":[84],"Specifically,":[85],"construct":[87],"U-shaped":[89],"encoder-decoder":[90],"search":[91,158],"space":[92],"that":[93,193],"incorporates":[94],"capabilities":[95],"information":[97],"interaction":[98],"feature":[100],"selection,":[101],"thereby":[102],"enabling":[103],"leverage":[106],"prior":[107],"knowledge":[108],"publicly":[110],"available":[111],"datasets":[112],"across":[113],"domains":[115],"improved":[117],"prediction":[118],"of":[119,165],"various":[120],"Given":[123],"the":[124,133,149,163,183],"potential":[125],"conflicts":[126],"among":[127],"disparate":[128],"tasks,":[130],"formulate":[132],"multi-task":[134],"problem":[135],"as":[136],"multi-objective":[138,144],"optimization":[139],"problem.":[140],"We":[141],"employ":[142],"genetic":[145],"algorithm":[146],"identify":[148],"Pareto-optimal":[150],"within":[156],"space.":[159],"mitigate":[162],"impact":[164],"noisy":[166],"labels":[167],"due":[168],"dataset":[170],"quality":[171],"variations,":[172],"propose":[174],"noise-robust":[176],"loss":[177,188],"function":[178],"named":[179],"NRL,":[180],"which":[181],"encourages":[182],"model":[184],"de-emphasize":[186],"larger":[187],"values.":[189],"Empirical":[190],"results":[191],"demonstrate":[192],"MOE-FewSeg":[194],"outperforms":[195],"designed":[197],"other":[200],"related":[201],"approaches.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}