{"id":"https://openalex.org/W4385819900","doi":"https://doi.org/10.1109/tetci.2023.3301337","title":"Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation","display_name":"Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation","publication_year":2023,"publication_date":"2023-08-14","ids":{"openalex":"https://openalex.org/W4385819900","doi":"https://doi.org/10.1109/tetci.2023.3301337"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2023.3301337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3301337","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Emerging Topics in Computational Intelligence","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/A5088100574","display_name":"Hao\u2010Tian Wu","orcid":"https://orcid.org/0000-0001-6462-7193"},"institutions":[{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Tian Wu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6462-7193","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457074","display_name":"Xin Cao","orcid":"https://orcid.org/0009-0007-7552-5345"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Cao","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-7552-5345","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828088","display_name":"Ying Gao","orcid":"https://orcid.org/0000-0002-8925-8192"},"institutions":[{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Gao","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8925-8192","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021989165","display_name":"Kaihan Zheng","orcid":"https://orcid.org/0000-0003-2756-9048"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihan Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2756-9048","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047964483","display_name":"Jiwu Huang","orcid":"https://orcid.org/0000-0002-7625-5689"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwu Huang","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7625-5689","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075234257","display_name":"Jiankun Hu","orcid":"https://orcid.org/0000-0003-0230-1432"},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiankun Hu","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0230-1432","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056608045","display_name":"Zhihong Tian","orcid":"https://orcid.org/0000-0002-9409-5359"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Tian","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9409-5359","affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7421,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93689139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"313","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.7538570165634155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7235279083251953},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.7188631296157837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5427151322364807},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4707750976085663},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.4616903066635132},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4178462326526642},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4112166166305542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39570802450180054},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.28026095032691956},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23082050681114197},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19616535305976868},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.16835054755210876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538570165634155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7235279083251953},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.7188631296157837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5427151322364807},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4707750976085663},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.4616903066635132},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4178462326526642},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4112166166305542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39570802450180054},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28026095032691956},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23082050681114197},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19616535305976868},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.16835054755210876},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2023.3301337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3301337","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4871455045","display_name":null,"funder_award_id":"U19B2022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1987869189","https://openalex.org/W2019646504","https://openalex.org/W2076205488","https://openalex.org/W2083610878","https://openalex.org/W2128254161","https://openalex.org/W2150769593","https://openalex.org/W2160473736","https://openalex.org/W2254039850","https://openalex.org/W2331128040","https://openalex.org/W2518631343","https://openalex.org/W2562637781","https://openalex.org/W2566376500","https://openalex.org/W2782364420","https://openalex.org/W2783573276","https://openalex.org/W2799265886","https://openalex.org/W2802864907","https://openalex.org/W2810518847","https://openalex.org/W2895693960","https://openalex.org/W2962579127","https://openalex.org/W2962793481","https://openalex.org/W2981699788","https://openalex.org/W2982192155","https://openalex.org/W2988209803","https://openalex.org/W3013766724","https://openalex.org/W3035557850","https://openalex.org/W3081111549","https://openalex.org/W3085574514","https://openalex.org/W3088478528","https://openalex.org/W3091618893","https://openalex.org/W3098546057","https://openalex.org/W3098558149","https://openalex.org/W3098903345","https://openalex.org/W3101507774","https://openalex.org/W3101566148","https://openalex.org/W3108316907","https://openalex.org/W3109889023","https://openalex.org/W3112383662","https://openalex.org/W3120911114","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3134765225","https://openalex.org/W3167836586","https://openalex.org/W3205385190","https://openalex.org/W3206516528","https://openalex.org/W3214281692","https://openalex.org/W4210549028","https://openalex.org/W4221148424","https://openalex.org/W4285157402","https://openalex.org/W4285238125","https://openalex.org/W4285244221","https://openalex.org/W4323065888","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W1980571360","https://openalex.org/W186124986","https://openalex.org/W3176448898","https://openalex.org/W4379115808","https://openalex.org/W3207986206","https://openalex.org/W2429379476","https://openalex.org/W1979866946","https://openalex.org/W4226141369","https://openalex.org/W3081392993","https://openalex.org/W2413307231"],"abstract_inverted_index":{"The":[0,123],"fundus":[1,48,53,118],"image":[2,54,119,136,174],"is":[3,40,79,96,120,126,145,184],"often":[4],"used":[5],"in":[6,35,98,116,147,162,181],"clinical":[7,182],"diagnosis":[8,36,183],"due":[9],"to":[10,33,42,101,159],"ease":[11],"and":[12,24,37,110,128,154,197],"safety":[13],"of":[14,45,150,171],"acquisition,":[15],"but":[16],"the":[17,46,51,82,99,103,117,131,148,172,192],"quality":[18,44,170],"may":[19,31],"be":[20,176],"affected":[21],"by":[22,106,190],"environment":[23],"onsite":[25],"operations.":[26],"As":[27],"low-quality":[28],"medical":[29,135],"images":[30],"lead":[32],"misinterpretation":[34],"analysis,":[38],"it":[39,144],"important":[41],"improve":[43],"improperly-acquired":[47],"images.":[49],"Unfortunately,":[50],"existing":[52],"enhancement":[55,104,137],"methods":[56,133],"require":[57],"task-specific":[58],"prior":[59],"knowledge":[60],"or":[61],"suffer":[62],"from":[63],"insufficient":[64],"generalization":[65],"ability.":[66],"To":[67],"cope":[68],"with":[69,85,130,186],"this":[70],"issue,":[71],"a":[72],"generative":[73],"adversarial":[74],"network":[75],"(GAN)":[76],"based":[77],"model":[78,125,189],"proposed,":[80],"namely":[81],"semi-supervised":[83],"GAN":[84],"anatomical":[86,92,193],"structure":[87,93,194],"preservation":[88],"(SSGAN-ASP).":[89],"Specifically,":[90],"an":[91],"extraction":[94,195],"component":[95,196],"employed":[97],"generator":[100],"guide":[102],"process":[105],"preserving":[107,198],"both":[108],"retinal":[109,151],"lesion":[111],"structures,":[112],"while":[113,178],"color":[114,199],"information":[115,200],"also":[121],"preserved.":[122],"SSGAN-ASP":[124],"evaluated":[127],"compared":[129],"state-of-the-art":[132],"for":[134],"on":[138],"three":[139],"popular":[140],"datasets.":[141],"In":[142],"addition,":[143],"applied":[146],"pre-processing":[149],"vessel":[152],"segmentation":[153],"diabetic":[155],"retinopathy":[156],"grading":[157],"tasks":[158],"show":[160],"efficacy":[161],"computer-aided":[163],"diagnosis.":[164],"Experimental":[165],"results":[166],"demonstrate":[167],"that":[168],"visual":[169],"enhanced":[173],"can":[175],"improved":[177],"better":[179],"performance":[180],"achieved":[185],"our":[187],"proposed":[188],"adopting":[191],"as":[201],"well.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
