{"id":"https://openalex.org/W4410298172","doi":"https://doi.org/10.1109/isbi60581.2025.10980890","title":"SEMI-Supervised Medical Image Segmentation via Dual Networks","display_name":"SEMI-Supervised Medical Image Segmentation via Dual Networks","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410298172","doi":"https://doi.org/10.1109/isbi60581.2025.10980890"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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/A5008158408","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0002-8624-3673"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyao Lu","raw_affiliation_strings":["AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China"],"affiliations":[{"raw_affiliation_string":"AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055916281","display_name":"Yihang Wu","orcid":"https://orcid.org/0000-0002-8640-8650"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihang Wu","raw_affiliation_strings":["AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China"],"affiliations":[{"raw_affiliation_string":"AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090099655","display_name":"Reem Kateb","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"Jeddah University","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Reem Kateb","raw_affiliation_strings":["College of Computer Science and Engineering, Jeddah University,Jeddah,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Jeddah University,Jeddah,Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024700033","display_name":"Ahmad Chaddad","orcid":"https://orcid.org/0000-0003-3402-9576"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmad Chaddad","raw_affiliation_strings":["AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China"],"affiliations":[{"raw_affiliation_string":"AIPM, School of Artificial Intelligence, Guilin University of Electronic Technology,China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008158408"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.9097,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74830951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8741999864578247,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8741999864578247,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7043728828430176},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6865184307098389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739729642868042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616597175598145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5768921375274658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5442874431610107},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5176023244857788},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4563577175140381},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.439494788646698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4338076710700989}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7043728828430176},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6865184307098389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739729642868042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616597175598145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5768921375274658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5442874431610107},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5176023244857788},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4563577175140381},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.439494788646698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4338076710700989},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3309042152","display_name":null,"funder_award_id":"82260360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W855272188","https://openalex.org/W1901129140","https://openalex.org/W2464708700","https://openalex.org/W2979907638","https://openalex.org/W3014974815","https://openalex.org/W3035680157","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3171581326","https://openalex.org/W3203046931","https://openalex.org/W4206693420","https://openalex.org/W4283160212","https://openalex.org/W4287322212","https://openalex.org/W4386075941","https://openalex.org/W4387415409","https://openalex.org/W4389827562","https://openalex.org/W4390189503","https://openalex.org/W4390561780","https://openalex.org/W4401752594","https://openalex.org/W4406208317"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Traditional":[0],"supervised":[1],"medical":[2,55],"image":[3,56],"segmentation":[4,29,57],"models":[5,30],"require":[6],"large":[7],"amounts":[8],"of":[9,77,101],"labeled":[10,18],"data":[11],"for":[12],"training;":[13],"however,":[14],"obtaining":[15],"such":[16],"large-scale":[17],"datasets":[19],"in":[20,40,80],"the":[21,61,75,99,102],"real":[22],"world":[23],"is":[24,95,130],"extremely":[25],"challenging.":[26],"Recent":[27],"semi-supervised":[28,51],"also":[31],"suffer":[32],"from":[33],"noisy":[34],"pseudo-label":[35],"issue":[36],"and":[37,84,104,112],"limited":[38],"supervision":[39],"feature":[41],"space.":[42],"To":[43],"solve":[44],"these":[45],"challenges,":[46],"we":[47,68],"propose":[48],"an":[49],"innovative":[50],"<tex":[52],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$3D$</tex>":[54],"method":[58],"to":[59,73,97],"reduce":[60,105],"dependency":[62],"on":[63,116],"large,":[64],"expert-labeled":[65],"datasets.":[66],"Furthermore,":[67],"introduce":[69],"a":[70,90],"dual-network":[71],"architecture":[72],"address":[74],"limitations":[76],"existing":[78],"methods":[79],"using":[81],"contextual":[82],"information":[83],"generating":[85],"reliable":[86,111],"pseudo-labels.":[87],"In":[88],"addition,":[89],"self-supervised":[91],"contrastive":[92],"learning":[93],"strategy":[94],"used":[96],"enhance":[98],"representation":[100],"network":[103],"prediction":[106],"uncertainty":[107],"by":[108],"distinguishing":[109],"between":[110],"unreliable":[113],"predictions.":[114],"Experiments":[115],"clinical":[117],"magnetic":[118],"resonance":[119],"imaging":[120],"demonstrate":[121],"that":[122],"our":[123],"approach":[124],"outperforms":[125],"state-of-the-art":[126],"techniques.":[127],"Our":[128],"code":[129],"available":[131],"at":[132],"https://github.com/AIPMLab/Semi-supervised-Segmentation.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
