{"id":"https://openalex.org/W7161903040","doi":"https://doi.org/10.1109/isbi61048.2026.11515810","title":"LIDSS: A Latent Information-Driven Dynamic Framework for Semi-Supervised Medical Image Segmentation","display_name":"LIDSS: A Latent Information-Driven Dynamic Framework for Semi-Supervised Medical Image Segmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161903040","doi":"https://doi.org/10.1109/isbi61048.2026.11515810"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515810","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/A5136523720","display_name":"Yuan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University,China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136541620","display_name":"Deping Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deping Zhang","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University,China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205870","display_name":"Bingfeng Luo","orcid":"https://orcid.org/0000-0002-3604-4270"},"institutions":[{"id":"https://openalex.org/I4210141719","display_name":"University of Hong Kong - Shenzhen Hospital","ror":"https://ror.org/047w7d678","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141719"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Bingfeng Luo","raw_affiliation_strings":["The University of Hong Kong-Shenzhen Hospital,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong-Shenzhen Hospital,China","institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002661018","display_name":"Yaozhong Luo","orcid":"https://orcid.org/0000-0002-9194-1134"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozhong Luo","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University,China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136558917","display_name":"Shaopeng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaopeng Liu","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University,China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123961922","display_name":"Xu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Lu","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University,China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5136523720"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93827132,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.26820001006126404,"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":0.26820001006126404,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.156700000166893,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.03539999946951866,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5169000029563904},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5113000273704529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4066999852657318},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40389999747276306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3352999985218048}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099000215530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147000193595886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5511999726295471},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5169000029563904},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4066999852657318},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2777999937534332}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515810","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":[{"id":"https://openalex.org/G6887323426","display_name":null,"funder_award_id":"62401163,62550171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7209954570","display_name":null,"funder_award_id":"2025YFE0103200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2106033751","https://openalex.org/W2804047627","https://openalex.org/W3083779147","https://openalex.org/W3171581326","https://openalex.org/W4282935002","https://openalex.org/W4317639861","https://openalex.org/W4385767742","https://openalex.org/W4386075748","https://openalex.org/W4389060465","https://openalex.org/W4397026441","https://openalex.org/W4402727208","https://openalex.org/W4403182126","https://openalex.org/W4406367798","https://openalex.org/W4406865746","https://openalex.org/W4407128474"],"related_works":[],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,100],"has":[2],"emerged":[3],"as":[4],"a":[5,49,63,91,108],"promising":[6],"approach":[7],"to":[8,32,83,113,138],"address":[9],"the":[10,122],"challenge":[11],"of":[12,51],"scarce":[13],"high-quality":[14],"annotations":[15],"in":[16,34,54],"magnetic":[17],"resonance":[18],"imaging":[19],"(MRI)":[20],"segmentation.":[21],"However,":[22],"existing":[23],"methods":[24],"often":[25],"suffer":[26],"from":[27,41],"limited":[28],"segmentation":[29,69,133,141],"accuracy":[30,134],"due":[31],"difficulties":[33],"effectively":[35],"leveraging":[36],"labeled":[37],"data,":[38],"which":[39],"stems":[40],"low":[42],"tissue":[43,89],"contrast,":[44],"ambiguous":[45],"anatomical":[46],"boundaries,":[47],"and":[48,107,124,135],"lack":[50],"reliable":[52],"supervision":[53],"unlabeled":[55],"regions.":[56],"To":[57],"overcome":[58],"these":[59],"limitations,":[60],"we":[61],"propose":[62],"novel":[64],"latent":[65],"information-driven":[66],"dynamic":[67],"semi-supervised":[68,140],"(LIDSS)":[70],"framework.":[71],"LIDSS":[72,130],"incorporates":[73],"three":[74],"key":[75],"components:":[76],"an":[77,103],"enhanced":[78],"boundary":[79],"refinement":[80],"module":[81,95],"(EBRM)":[82],"improve":[84],"discriminative":[85],"feature":[86,99],"extraction":[87],"along":[88],"borders,":[90],"confidence-guided":[92],"adaptive":[93,104],"replacement":[94],"(CGAR)":[96],"that":[97,129],"enhances":[98],"robustness":[101,136],"through":[102],"fusion":[105],"mechanism,":[106],"self-contrasting":[109],"auxiliary":[110],"training":[111],"strategy":[112],"minimize":[114],"discrepancies":[115],"between":[116],"dual":[117],"decoders.":[118],"Extensive":[119],"experiments":[120],"on":[121],"PROMISE12":[123],"ACDC":[125],"benchmark":[126],"datasets":[127],"demonstrate":[128],"achieves":[131],"superior":[132],"compared":[137],"state-of-the-art":[139],"methods.":[142]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
