{"id":"https://openalex.org/W3195925764","doi":"https://doi.org/10.1109/icip42928.2021.9506658","title":"Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images","display_name":"Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195925764","doi":"https://doi.org/10.1109/icip42928.2021.9506658","mag":"3195925764"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100409053","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3467-5607"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818613","display_name":"Zhipeng Liu","orcid":"https://orcid.org/0009-0008-3962-2153"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Liu","raw_affiliation_strings":["Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386120","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-3706-5778"},"institutions":[{"id":"https://openalex.org/I4210154929","display_name":"He Eye Hospital","ror":"https://ror.org/04fnhr972","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Wuhan Aier Eye Hospital,Wuhan,China","Wuhan Aier Eye Hospital, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Aier Eye Hospital,Wuhan,China","institution_ids":["https://openalex.org/I4210154929"]},{"raw_affiliation_string":"Wuhan Aier Eye Hospital, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345021","display_name":"Man Wang","orcid":"https://orcid.org/0000-0001-6588-4538"},"institutions":[{"id":"https://openalex.org/I4210154929","display_name":"He Eye Hospital","ror":"https://ror.org/04fnhr972","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Wang","raw_affiliation_strings":["Wuhan Aier Eye Hospital,Wuhan,China","Wuhan Aier Eye Hospital, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Aier Eye Hospital,Wuhan,China","institution_ids":["https://openalex.org/I4210154929"]},{"raw_affiliation_string":"Wuhan Aier Eye Hospital, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046508099","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-1415-4444"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000177737","display_name":"Jinshan Tang","orcid":"https://orcid.org/0000-0001-7266-8534"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinshan Tang","raw_affiliation_strings":["George Mason University,College of Health and Human Services,Department of Health Administration and Policy,Fairfax,Virginia,USA,22030"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University,College of Health and Human Services,Department of Health Administration and Policy,Fairfax,Virginia,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10668","issue":null,"first_page":"71","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7618310451507568},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.738465428352356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236765623092651},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6678535342216492},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6187261939048767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6119283437728882},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5196781754493713},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5108897089958191},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46723753213882446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3344319462776184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3041453957557678},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1399640142917633},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09724411368370056},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07272115349769592}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7618310451507568},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.738465428352356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236765623092651},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6678535342216492},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6187261939048767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6119283437728882},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5196781754493713},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5108897089958191},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46723753213882446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3344319462776184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3041453957557678},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1399640142917633},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09724411368370056},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07272115349769592},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2000642633","https://openalex.org/W2001080026","https://openalex.org/W2131551318","https://openalex.org/W2165263628","https://openalex.org/W2340896621","https://openalex.org/W2418802570","https://openalex.org/W2564681053","https://openalex.org/W2582609956","https://openalex.org/W2599354622","https://openalex.org/W2737035471","https://openalex.org/W2765793020","https://openalex.org/W2772629455","https://openalex.org/W2785047143","https://openalex.org/W2797401432","https://openalex.org/W2805032794","https://openalex.org/W2890692913","https://openalex.org/W2905660188","https://openalex.org/W2914570111","https://openalex.org/W2954400107","https://openalex.org/W2963045681","https://openalex.org/W2974131077","https://openalex.org/W3024045805","https://openalex.org/W3027067201","https://openalex.org/W3036883289","https://openalex.org/W3046359959","https://openalex.org/W3108975592","https://openalex.org/W3116279133","https://openalex.org/W3119134037","https://openalex.org/W4320013936","https://openalex.org/W6751917112","https://openalex.org/W6764636640","https://openalex.org/W6779669310","https://openalex.org/W6788338583"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W3040099731","https://openalex.org/W2896600774","https://openalex.org/W4289406342","https://openalex.org/W2596763562","https://openalex.org/W2964218010","https://openalex.org/W2808862658","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"When":[0],"optical":[1],"coherence":[2],"tomography":[3],"(OCT)":[4],"is":[5,12,51,97],"used":[6],"for":[7,43],"retinal":[8],"disease":[9],"diagnosis,":[10],"it":[11],"critical":[13],"to":[14,89,103,128,141],"detect":[15],"and":[16,40,46,62,75,93,132,158],"classify":[17],"the":[18,21,94,100,105,109,116,120,152,155],"biomarkers":[19,88],"from":[20],"OCT":[22],"B-scans":[23],"of":[24,154],"patients.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,114],"propose":[30],"a":[31,54,76,90,125,134,148],"novel":[32],"weakly":[33],"supervised":[34],"approach":[35,50],"that":[36],"utilizes":[37],"healthy":[38],"data":[39],"image-level":[41],"labels":[42],"biomarker":[44,143],"detection":[45,73,81,122,157],"classification.":[47],"The":[48,68,79],"proposed":[49,156],"based":[52],"on":[53],"hybrid":[55],"network":[56,61,74,82,123],"which":[57],"integrates":[58],"adversarial":[59],"generative":[60],"guided":[63,110],"attention":[64,111,136],"into":[65],"one":[66],"framework.":[67,160],"framework":[69],"includes":[70],"an":[71,84],"anomaly":[72,80,121],"classification":[77,159],"network.":[78],"reconstructs":[83],"input":[85,101],"image":[86,92,96,102],"with":[87,99,138,147],"reconstructed":[91,95],"compared":[98],"locate":[104],"biomarkers.":[106],"Inspired":[107],"by":[108],"inference":[112],"network,":[113],"utilize":[115],"discriminator":[117],"trained":[118],"in":[119],"as":[124],"classifier":[126],"twice":[127],"reduce":[129],"model":[130],"parameters":[131],"obtain":[133],"complete":[135],"map":[137],"class":[139],"information":[140],"get":[142],"classes.":[144],"Experimental":[145],"results":[146],"large":[149],"dataset":[150],"demonstrate":[151],"effectiveness":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}