{"id":"https://openalex.org/W4205428821","doi":"https://doi.org/10.1109/mmul.2022.3142986","title":"FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning","display_name":"FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning","publication_year":2022,"publication_date":"2022-01-13","ids":{"openalex":"https://openalex.org/W4205428821","doi":"https://doi.org/10.1109/mmul.2022.3142986"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2022.3142986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3142986","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-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/A5049798592","display_name":"Yang Wen","orcid":"https://orcid.org/0000-0003-0561-6229"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Wen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0561-6229","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017395798","display_name":"Leiting Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiting Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810772","display_name":"Lifeng Qiao","orcid":"https://orcid.org/0000-0003-1023-5009"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Qiao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101921697","display_name":"Yu Deng","orcid":"https://orcid.org/0000-0002-7637-0134"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Deng","raw_affiliation_strings":["King&#x2019;s College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King&#x2019;s College London, London, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101742852","display_name":"Haisheng Chen","orcid":"https://orcid.org/0000-0003-3017-0484"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069833527","display_name":"Tian Zhang","orcid":"https://orcid.org/0000-0002-9486-6440"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003262869","display_name":"Chuan Zhou","orcid":"https://orcid.org/0000-0001-7700-7188"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7700-7188","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5049798592"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7219,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66962754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"2","first_page":"114","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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":1.0,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T12599","display_name":"Retinal and Optic Conditions","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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":0.800421416759491},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7964249849319458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769038438796997},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.5590253472328186},{"id":"https://openalex.org/keywords/fluorescein","display_name":"Fluorescein","score":0.521533727645874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48973846435546875},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4652586579322815},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4487270414829254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3498949408531189},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12096148729324341},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.10781833529472351},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08127152919769287},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.07598894834518433},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07125809788703918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800421416759491},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7964249849319458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769038438796997},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.5590253472328186},{"id":"https://openalex.org/C2778015030","wikidata":"https://www.wikidata.org/wiki/Q410922","display_name":"Fluorescein","level":3,"score":0.521533727645874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48973846435546875},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4652586579322815},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4487270414829254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3498949408531189},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12096148729324341},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.10781833529472351},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08127152919769287},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.07598894834518433},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07125809788703918},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2022.3142986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3142986","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"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/W1963739915","https://openalex.org/W1994765184","https://openalex.org/W2008359794","https://openalex.org/W2075206985","https://openalex.org/W2167474573","https://openalex.org/W2273205327","https://openalex.org/W2313571009","https://openalex.org/W2485510676","https://openalex.org/W2594336900","https://openalex.org/W2777186991","https://openalex.org/W2794403208","https://openalex.org/W2886801379","https://openalex.org/W2921406441","https://openalex.org/W2964309882","https://openalex.org/W3014974815","https://openalex.org/W3034692043","https://openalex.org/W3112701542","https://openalex.org/W3201906559","https://openalex.org/W3203782569","https://openalex.org/W6639824700","https://openalex.org/W6748481559"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W1507266234","https://openalex.org/W1967061043","https://openalex.org/W2549936415"],"abstract_inverted_index":{"Despite":[0],"the":[1,13,21,126,143,153,166,185],"recent":[2],"success":[3],"of":[4,15,23,28,60,128,147,168,187,197],"deep":[5],"learning-based":[6],"models":[7,48,52],"for":[8,20,91,125],"medical":[9],"image":[10,102],"segmentation":[11,19,27,47,95,175],"and":[12,49,63,88,103,112,145,190],"importance":[14],"automated":[16],"fluorescein":[17,29,61,93,98,148,162,198],"leakage":[18,30,62,94],"diagnosis":[22],"advanced":[24],"diabetic":[25],"retinopathy,":[26],"has":[31],"been":[32],"neglected":[33],"because":[34],"1)":[35],"there":[36],"are":[37,106,115],"no":[38],"publicly":[39],"available":[40],"databases":[41],"with":[42],"sufficient":[43],"annotations":[44],"to":[45,54,84,123,137,142,150],"train":[46],"2)":[50],"supervised":[51],"struggle":[53],"accurately":[55],"distinguish":[56],"between":[57],"different":[58,67,195],"types":[59,196],"localize":[64],"leakages":[65,149],"at":[66],"imaging":[68],"angles.":[69],"To":[70],"tackle":[71],"these":[72],"challenges,":[73],"this":[74],"work":[75],"presents":[76],"FLeak-Seg,":[77,181],"a":[78,118],"cross-modal":[79,119],"dual":[80],"attention":[81,120],"learning":[82,121],"method":[83],"jointly":[85],"capture":[86],"visual":[87,111],"language":[89],"information,":[90],"end-to-end":[92],"in":[96,158,184],"fundus":[97,161],"angiography.":[99],"Specifically,":[100],"both":[101],"text":[104],"data":[105],"used":[107],"as":[108],"input,":[109],"where":[110],"linguistic":[113],"features":[114],"captured":[116],"by":[117],"module":[122,133],"compensate":[124],"lack":[127],"annotations.":[129],"A":[130],"keyword":[131],"classification":[132],"is":[134],"also":[135],"employed":[136],"identify":[138],"meaningful":[139],"expressions":[140],"related":[141],"type":[144],"location":[146],"further":[151],"facilitate":[152],"segmentation.":[154],"Experimental":[155],"results":[156],"obtained":[157],"an":[159],"in-house":[160],"angiography":[163],"database":[164],"demonstrate":[165],"superiority":[167],"our":[169],"method.":[170],"We":[171],"show":[172],"how":[173],"erroneous":[174],"masks":[176],"can":[177],"be":[178],"improved":[179],"using":[180],"its":[182,191],"advantages":[183],"context":[186],"limited":[188],"samples,":[189],"behavior":[192],"on":[193],"segmenting":[194],"leakages.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
