{"id":"https://openalex.org/W7161767611","doi":"https://doi.org/10.1109/isbi61048.2026.11516004","title":"LUMOS: Universal Semi-Supervised Oct Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning","display_name":"LUMOS: Universal Semi-Supervised Oct Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161767611","doi":"https://doi.org/10.1109/isbi61048.2026.11516004"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11516004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11516004","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/A5133213773","display_name":"Yizhou Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Fang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136552404","display_name":"Jian Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhong","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136576128","display_name":"Lin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lin","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136512207","display_name":"Xiaoying Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Tang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65340165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9319000244140625,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9319000244140625,"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/T12484","display_name":"Retinopathy of Prematurity Studies","score":0.011599999852478504,"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/T10381","display_name":"Ophthalmology and Visual Impairment Studies","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/segmentation","display_name":"Segmentation","score":0.5712000131607056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49149999022483826},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.39340001344680786},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.36800000071525574},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621999740600586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6121000051498413},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5712000131607056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49149999022483826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45170000195503235},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32580000162124634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2766999900341034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11516004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11516004","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1925219021","https://openalex.org/W2060040689","https://openalex.org/W3136054725","https://openalex.org/W4224230408","https://openalex.org/W4388413159","https://openalex.org/W4391289335","https://openalex.org/W4401212407","https://openalex.org/W4402727208","https://openalex.org/W4403619442","https://openalex.org/W4409122580"],"related_works":[],"abstract_inverted_index":{"Optical":[0],"Coherence":[1],"Tomography":[2],"(OCT)":[3],"layer":[4,47],"segmentation":[5,48],"faces":[6],"challenges":[7],"due":[8],"to":[9,33,77,100],"annotation":[10],"scarcity":[11],"and":[12,61,89,129,133],"heterogeneous":[13],"label":[14,23],"granularities":[15],"across":[16],"datasets.":[17],"While":[18],"semi-supervised":[19,43],"learning":[20],"helps":[21],"alleviate":[22],"scarcity,":[24],"existing":[25,127],"methods":[26,128],"typically":[27],"assume":[28],"a":[29,42,52,56,69,73,90],"fixed":[30],"granularity,":[31],"failing":[32],"fully":[34],"exploit":[35],"cross-granularity":[36,109,115,134],"supervision.":[37],"This":[38],"paper":[39],"presents":[40],"LUMOS,":[41],"universal":[44],"OCT":[45,120],"retinal":[46],"framework":[49],"based":[50],"on":[51,118],"Dual-Decoder":[53],"Network":[54],"with":[55,72],"Hierarchical":[57],"Prompting":[58],"Strategy":[59],"(DDN-HPS)":[60],"Reliable":[62],"Progressive":[63],"Multi-granularity":[64],"Learning":[65],"(RPML).":[66],"DDN-HPS":[67],"combines":[68],"dual-branch":[70],"architecture":[71],"multi-granularity":[74],"prompting":[75],"strategy":[76],"effectively":[78],"suppress":[79],"pseudo-label":[80],"noise":[81],"propagation.":[82],"Meanwhile,":[83],"RPML":[84],"introduces":[85],"region-level":[86],"reliability":[87],"weighing":[88],"progressive":[91],"training":[92],"approach":[93],"that":[94,123],"guides":[95],"the":[96,105],"model":[97],"from":[98],"easier":[99],"more":[101],"difficult":[102],"tasks,":[103],"ensuring":[104],"reliable":[106],"selection":[107],"of":[108],"consistency":[110],"targets,":[111],"thereby":[112],"achieving":[113],"stable":[114],"alignment.":[116],"Experiments":[117],"six":[119],"datasets":[121],"demonstrate":[122],"LUMOS":[124],"largely":[125],"outperforms":[126],"exhibits":[130],"exceptional":[131],"crossdomain":[132],"generalization":[135],"capability.":[136]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
