{"id":"https://openalex.org/W4413899631","doi":"https://doi.org/10.1142/s0129065725500546","title":"A Stability-Aware Dual-Head Network with Prototype-Based Consistency for Semi-Supervised Medical Image Segmentation","display_name":"A Stability-Aware Dual-Head Network with Prototype-Based Consistency for Semi-Supervised Medical Image Segmentation","publication_year":2025,"publication_date":"2025-08-29","ids":{"openalex":"https://openalex.org/W4413899631","doi":"https://doi.org/10.1142/s0129065725500546","pmid":"https://pubmed.ncbi.nlm.nih.gov/40890045"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065725500546","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500546","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","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":"https://openalex.org/A5102661353","display_name":"Leyi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210137137","display_name":"Tianma Microelectronics (China)","ror":"https://ror.org/03b7gey53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210137137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyi Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","Tianfu Jincheng Laboratory, Chengdu 610093, P. R. China"],"raw_orcid":"https://orcid.org/0009-0000-4851-9870","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Tianfu Jincheng Laboratory, Chengdu 610093, P. R. China","institution_ids":["https://openalex.org/I4210137137"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiayi Li","orcid":"https://orcid.org/0009-0005-4600-102X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Li","raw_affiliation_strings":["College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China"],"raw_orcid":"https://orcid.org/0009-0005-4600-102X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Yan","orcid":"https://orcid.org/0009-0007-2409-4768"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yan","raw_affiliation_strings":["College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China"],"raw_orcid":"https://orcid.org/0009-0007-2409-4768","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaolong Xu","orcid":"https://orcid.org/0009-0001-0658-6730"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Xu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-0658-6730","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037608200","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-9702-6738"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210137137","display_name":"Tianma Microelectronics (China)","ror":"https://ror.org/03b7gey53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210137137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","Tianfu Jincheng Laboratory, Chengdu 610093, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-9702-6738","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Tianfu Jincheng Laboratory, Chengdu 610093, P. R. China","institution_ids":["https://openalex.org/I4210137137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037608200"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210137137"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20745386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"10","first_page":"2550054","last_page":"2550054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8214565515518188},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6654846668243408},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.662168025970459},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6502195596694946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992879867553711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4734351634979248},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4602453112602234},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43858349323272705},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.432917058467865},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4219816327095032},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4210616946220398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36510753631591797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34612417221069336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8214565515518188},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6654846668243408},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.662168025970459},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6502195596694946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992879867553711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4734351634979248},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4602453112602234},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43858349323272705},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.432917058467865},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4219816327095032},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4210616946220398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36510753631591797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34612417221069336},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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":"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":"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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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:10.1142/s0129065725500546","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500546","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:40890045","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40890045","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 neural systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2770233088","https://openalex.org/W2893712141","https://openalex.org/W2964309882","https://openalex.org/W2992308087","https://openalex.org/W2992989584","https://openalex.org/W3093394156","https://openalex.org/W3103298250","https://openalex.org/W3175103763","https://openalex.org/W4206693420","https://openalex.org/W4311506911","https://openalex.org/W4386065545","https://openalex.org/W4386066400","https://openalex.org/W4386075981","https://openalex.org/W4386422588","https://openalex.org/W4387211216","https://openalex.org/W4389827562","https://openalex.org/W4390561780","https://openalex.org/W4400341581","https://openalex.org/W4402808690","https://openalex.org/W4406011540","https://openalex.org/W4406311319"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W1603736412","https://openalex.org/W2947043951"],"abstract_inverted_index":{"Semi-supervised":[0],"semantic":[1,84],"segmentation":[2,21],"for":[3,63,69,159],"medical":[4,160],"images":[5],"has":[6],"evolved":[7],"through":[8],"time.":[9],"While":[10],"it":[11,23],"can":[12],"leverage":[13],"the":[14,20,26,32,83,90,119,123,142],"unlabeled":[15],"data":[16],"to":[17,50,103],"significantly":[18],"improve":[19],"performance,":[22,137],"still":[24],"suffers":[25],"problems":[27],"of":[28,86,92],"intra-class":[29,106],"variance":[30,107],"and":[31,53,66,108,131,155],"consequent":[33],"class-domain":[34],"distribution":[35,109],"misalignment":[36],"along":[37],"with":[38,89],"costly":[39],"training.":[40],"In":[41],"this":[42],"paper,":[43],"a":[44],"stability-aware":[45,97],"dual-head":[46],"architecture":[47],"is":[48,101,164],"proposed":[49],"synergize":[51],"prototype-based":[52,61],"Fully":[54],"Convolutional":[55],"Network":[56],"(FCN)":[57],"methodologies.":[58],"By":[59],"integrating":[60],"method":[62,68,74],"feature":[64,79],"consistency":[65,76,85],"FCN":[67],"spatial":[70],"detail":[71],"preservation,":[72],"our":[73],"enforces":[75],"between":[77],"different":[78,126],"representations.":[80],"It":[81],"combines":[82],"prototype":[87],"learning":[88],"precision":[91],"dense":[93],"prediction.":[94],"A":[95],"sample-level":[96],"adaptive":[98],"augmentation":[99],"strategy":[100],"introduced":[102],"further":[104],"mitigate":[105],"shifts.":[110],"The":[111,149],"following":[112],"certainty":[113],"guided":[114],"fusion":[115],"process":[116],"dynamically":[117],"refines":[118],"pseudo-labels,":[120],"better":[121],"utilizing":[122],"advantages":[124],"in":[125],"methods.":[127],"Experiments":[128],"on":[129,146],"BraTS2019":[130],"LA":[132],"Heart":[133],"demonstrate":[134],"State-Of-The-Art":[135],"(SOTA)":[136],"achieving":[138],"significant":[139],"improvements":[140],"over":[141],"previous":[143],"SOTA":[144],"methods":[145],"multiple":[147],"metrics.":[148],"framework":[150],"effectively":[151],"bridges":[152],"domain":[153],"gaps":[154],"enhances":[156],"pseudo-label":[157],"reliability":[158],"image":[161],"analysis.":[162],"(Code":[163],"available":[165],"at":[166],"https://github.com/Alfredzly/SDNP).":[167]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}