{"id":"https://openalex.org/W3027067201","doi":"https://doi.org/10.1109/isbi45749.2020.9098374","title":"Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image","display_name":"Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3027067201","doi":"https://doi.org/10.1109/isbi45749.2020.9098374","mag":"3027067201"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","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/A5048745902","display_name":"Kang Zhou","orcid":"https://orcid.org/0000-0001-8789-4243"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zhou","raw_affiliation_strings":["Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034339267","display_name":"Shenghua Gao","orcid":"https://orcid.org/0000-0003-1626-2040"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Gao","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044959745","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0003-1786-6188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["UB Tech Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UB Tech Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065217855","display_name":"Zaiwang Gu","orcid":"https://orcid.org/0000-0001-8764-0622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaiwang Gu","raw_affiliation_strings":["UB Tech Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UB Tech Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030099989","display_name":"Zhi Tu","orcid":"https://orcid.org/0000-0001-6175-164X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050873947","display_name":"Jianlong Yang","orcid":"https://orcid.org/0000-0001-7450-1260"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Yang","raw_affiliation_strings":["Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057905491","display_name":"Yitian Zhao","orcid":"https://orcid.org/0000-0003-4357-4592"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitian Zhao","raw_affiliation_strings":["Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325209","display_name":"Jiang Liu","orcid":"https://orcid.org/0000-0001-6281-6505"},"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":"Jiang Liu","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1227","last_page":"1231"},"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":0.9972000122070312,"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":0.9882000088691711,"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":0.7117393612861633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730110049247742},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5970339775085449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5742576718330383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5718550682067871},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.5670899748802185},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5348946452140808},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5059289336204529},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.48495984077453613},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44170454144477844},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4178130626678467},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.41593456268310547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.326985239982605},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07309862971305847}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7117393612861633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730110049247742},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5970339775085449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5742576718330383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5718550682067871},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.5670899748802185},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5348946452140808},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5059289336204529},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.48495984077453613},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44170454144477844},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4178130626678467},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.41593456268310547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.326985239982605},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07309862971305847},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/345004","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/345004","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2099471712","https://openalex.org/W2163605009","https://openalex.org/W2295107390","https://openalex.org/W2418802570","https://openalex.org/W2548063209","https://openalex.org/W2589074029","https://openalex.org/W2599354622","https://openalex.org/W2777342313","https://openalex.org/W2788495591","https://openalex.org/W2788633781","https://openalex.org/W2889059876","https://openalex.org/W2891112683","https://openalex.org/W2891719020","https://openalex.org/W2914570111","https://openalex.org/W2921406441","https://openalex.org/W2963045681","https://openalex.org/W2963073614","https://openalex.org/W2963239200","https://openalex.org/W2976482555","https://openalex.org/W3103010481","https://openalex.org/W3106336869","https://openalex.org/W4320013936","https://openalex.org/W6684191040","https://openalex.org/W6741332042","https://openalex.org/W6748845858","https://openalex.org/W6755321203","https://openalex.org/W6786334267"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W3176030012"],"abstract_inverted_index":{"With":[0],"the":[1,68,72,79,104,118,140,158,173,177,181],"development":[2],"of":[3,71,109,139,142,160],"convolutional":[4],"neural":[5],"network,":[6],"deep":[7,24,47],"learning":[8,25,48],"has":[9],"shown":[10],"its":[11],"success":[12],"for":[13,33,40,94,144],"retinal":[14],"disease":[15,41,75,95,145],"detection":[16,86],"from":[17,51],"optical":[18],"coherence":[19],"tomography":[20],"(OCT)":[21],"images.":[22],"However,":[23],"often":[26],"relies":[27],"on":[28,151,167],"large":[29],"scale":[30],"labelled":[31],"data":[32,100],"training,":[34],"which":[35,66],"is":[36,59,128],"oftentimes":[37],"challenging":[38],"especially":[39],"with":[42,53],"low":[43],"occurrence.":[44],"Moreover,":[45],"a":[46,56,83,131,168],"system":[49,73],"trained":[50],"data-set":[52],"one":[54],"or":[55],"few":[57],"diseases":[58],"unable":[60],"to":[61,149,156],"detect":[62],"other":[63],"unseen":[64],"diseases,":[65],"limits":[67],"practical":[69],"usage":[70],"in":[74,103,120,137],"screening.":[76],"To":[77],"address":[78],"limitation,":[80],"we":[81,147],"propose":[82],"novel":[84,132],"anomaly":[85,153],"framework":[87],"termed":[88],"Sparsity-constrained":[89],"Generative":[90],"Adversarial":[91],"Network":[92],"(Sparse-GAN)":[93],"screening":[96],"where":[97],"only":[98],"healthy":[99],"are":[101,111],"available":[102,170],"training":[105],"set.":[106],"The":[107,114],"contributions":[108],"Sparse-GAN":[110,116,127,166],"two-folds:":[112],"1)":[113],"proposed":[115,165,178],"predicts":[117],"anomalies":[119],"latent":[121],"space":[122],"rather":[123],"than":[124],"image-level;":[125],"2)":[126],"constrained":[129],"by":[130],"Sparsity":[133],"Regularization":[134],"Net.":[135],"Furthermore,":[136],"light":[138],"role":[141],"lesions":[143],"screening,":[146],"present":[148],"leverage":[150],"an":[152],"activation":[154],"map":[155],"show":[157,175],"heatmap":[159],"lesions.":[161],"We":[162],"evaluate":[163],"our":[164],"publicly":[169],"dataset,":[171],"and":[172],"results":[174],"that":[176],"method":[179],"outperforms":[180],"state-of-the-art":[182],"methods.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}