{"id":"https://openalex.org/W4401410474","doi":"https://doi.org/10.3390/app14166941","title":"Lightweight Frequency Recalibration Network for Diabetic Retinopathy Multi-Lesion Segmentation","display_name":"Lightweight Frequency Recalibration Network for Diabetic Retinopathy Multi-Lesion Segmentation","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401410474","doi":"https://doi.org/10.3390/app14166941"},"language":"en","primary_location":{"id":"doi:10.3390/app14166941","doi":"https://doi.org/10.3390/app14166941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14166941","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/app14166941","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065287559","display_name":"Yinghua Fu","orcid":"https://orcid.org/0000-0002-8616-1811","observed_orcids":["https://orcid.org/0000-0002-8616-1811"]},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghua Fu","raw_affiliation_strings":["University of Shanghai for Science and Technology","School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114141441","display_name":"Mangmang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mangmang Liu","raw_affiliation_strings":["University of Shanghai for Science and Technology","School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086499502","display_name":"Ge Zhang","orcid":"https://orcid.org/0000-0002-6377-7760","observed_orcids":["https://orcid.org/0000-0002-6377-7760"]},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology","School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043467191","display_name":"Jiansheng Peng","orcid":"https://orcid.org/0000-0003-4013-4508","observed_orcids":["https://orcid.org/0000-0003-4013-4508"]},"institutions":[{"id":"https://openalex.org/I4210161599","display_name":"Hechi University","ror":"https://ror.org/05pjkyk24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161599"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiansheng Peng","raw_affiliation_strings":["Hechi University","Department of Artificial Intelligence and Manufacturing, Hechi University, Hechi 546300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hechi University","institution_ids":["https://openalex.org/I4210161599"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Manufacturing, Hechi University, Hechi 546300, China","institution_ids":["https://openalex.org/I4210161599"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043467191"],"corresponding_institution_ids":["https://openalex.org/I4210161599"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2728},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2728},"fwci":3.5117,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93582557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"16","first_page":"6941","last_page":"6941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.000699999975040555,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/diabetic-retinopathy","display_name":"diabetic retinopathy","score":0.9990000128746033},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.7360000014305115},{"id":"https://openalex.org/keywords/texture-information","display_name":"texture information","score":0.6959999799728394},{"id":"https://openalex.org/keywords/laplacian-pyramid","display_name":"Laplacian pyramid","score":0.9559999704360962},{"id":"https://openalex.org/keywords/gaussian-pyramid","display_name":"Gaussian pyramid","score":0.9190000295639038},{"id":"https://openalex.org/keywords/residual-attention-module","display_name":"residual attention module","score":0.8289999961853027}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7612800002098083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010586857795715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682403028011322},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.609426736831665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4962614178657532},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43065470457077026},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.41269010305404663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37478041648864746},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21292853355407715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15898364782333374},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1422574520111084},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/app14166941","doi":"https://doi.org/10.3390/app14166941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14166941","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-4173485/v1","doi":"https://doi.org/10.21203/rs.3.rs-4173485/v1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21203/rs.3.rs-4173485/v1","pdf_url":"https://www.researchsquare.com/article/rs-4173485/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},{"id":"pmh:oai:doaj.org/article:eaa23ddd12af4b308b105ee995e88d32","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/eaa23ddd12af4b308b105ee995e88d32","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 14, Iss 16, p 6941 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app14166941","doi":"https://doi.org/10.3390/app14166941","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14166941","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8291000127792358}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5313016767","display_name":null,"funder_award_id":"2024GXZDSY009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6787452602","display_name":null,"funder_award_id":"U2241245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8349374299","display_name":null,"funder_award_id":"62276167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8381135209","display_name":null,"funder_award_id":"62176244","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401410474.pdf","grobid_xml":"https://content.openalex.org/works/W4401410474.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1901129140","https://openalex.org/W2016795705","https://openalex.org/W2020267609","https://openalex.org/W2163605009","https://openalex.org/W2168893898","https://openalex.org/W2181504377","https://openalex.org/W2420085356","https://openalex.org/W2433157206","https://openalex.org/W2501861162","https://openalex.org/W2502810715","https://openalex.org/W2574864336","https://openalex.org/W2612445135","https://openalex.org/W2788906943","https://openalex.org/W2792618444","https://openalex.org/W2798122215","https://openalex.org/W2803487511","https://openalex.org/W2828862258","https://openalex.org/W2884436604","https://openalex.org/W2901464553","https://openalex.org/W2911970391","https://openalex.org/W2939250925","https://openalex.org/W2948685905","https://openalex.org/W2952722001","https://openalex.org/W2953129827","https://openalex.org/W2963163009","https://openalex.org/W2964309882","https://openalex.org/W2968555749","https://openalex.org/W2972547754","https://openalex.org/W2978017498","https://openalex.org/W3009976953","https://openalex.org/W3015301375","https://openalex.org/W3030450755","https://openalex.org/W3034552520","https://openalex.org/W3084620223","https://openalex.org/W3092344722","https://openalex.org/W3104962541","https://openalex.org/W3159991667","https://openalex.org/W3161081823","https://openalex.org/W3198425465","https://openalex.org/W3206183020","https://openalex.org/W3209491109","https://openalex.org/W4200014273","https://openalex.org/W4205124183","https://openalex.org/W4205213185","https://openalex.org/W4210549028","https://openalex.org/W4282559613","https://openalex.org/W4295747758","https://openalex.org/W4310607390","https://openalex.org/W4323362562","https://openalex.org/W4379113527","https://openalex.org/W4383753158","https://openalex.org/W4385163854","https://openalex.org/W4386362537","https://openalex.org/W4389060586","https://openalex.org/W4390562731","https://openalex.org/W4391263092","https://openalex.org/W6604344240","https://openalex.org/W6765105554"],"related_works":["https://openalex.org/W4379113527","https://openalex.org/W7220904125","https://openalex.org/W4409427313","https://openalex.org/W7124850339","https://openalex.org/W4220912007","https://openalex.org/W4393148186","https://openalex.org/W4394952836","https://openalex.org/W3196861100","https://openalex.org/W4392412776","https://openalex.org/W4388233739"],"abstract_inverted_index":{"Automated":[0],"segmentation":[1,17,30,172,217],"of":[2,23,35,68,98,130,145,210,218,244],"diabetic":[3],"retinopathy":[4],"(DR)":[5],"lesions":[6],"is":[7,38],"crucial":[8],"for":[9,53,215,232],"assessing":[10],"DR":[11,56,131],"severity":[12],"and":[13,75,101,162,179,181,193,213,221,227,234],"diagnosis.":[14],"Most":[15],"previous":[16],"methods":[18],"overlook":[19],"the":[20,33,65,69,111,121,127,143,148,169,216,224,237,242],"detrimental":[21],"impact":[22],"texture":[24,73,118],"information":[25,74],"bias,":[26],"resulting":[27],"in":[28,106],"suboptimal":[29],"results.":[31],"Additionally,":[32],"role":[34],"lesion":[36,159],"shape":[37,76,128],"not":[39],"thoroughly":[40],"considered.":[41],"In":[42,147],"this":[43],"paper,":[44],"we":[45,150],"propose":[46],"a":[47,60,82,92,96,152,182],"lightweight":[48],"frequency":[49,61,108,137],"recalibration":[50,62],"network":[51],"(LFRC-Net)":[52],"simultaneous":[54],"multi-lesion":[55],"segmentation,":[57],"which":[58,240],"integrates":[59],"module":[63,80,155],"into":[64],"bottleneck":[66],"layers":[67],"encoder":[70],"to":[71,85,157],"analyze":[72],"features":[77,87,105,129],"together.":[78],"The":[79,114],"utilizes":[81],"Gaussian":[83,99],"pyramid":[84,94],"generate":[86],"at":[88],"different":[89,107],"scales,":[90],"constructs":[91],"Laplacian":[93,112],"using":[95],"difference":[97],"filter,":[100],"then":[102],"analyzes":[103],"object":[104],"domains":[109],"with":[110],"pyramid.":[113],"high-frequency":[115],"component":[116],"handles":[117],"information,":[119],"while":[120],"low-frequency":[122],"area":[123],"focuses":[124],"on":[125,174,223,236],"learning":[126],"lesions.":[132],"By":[133],"adaptively":[134],"recalibrating":[135],"these":[136],"representations,":[138],"our":[139,205,245],"method":[140],"can":[141],"differentiate":[142],"objects":[144],"interest.":[146],"decoder,":[149],"introduce":[151],"residual":[153],"attention":[154],"(RAM)":[156],"enhance":[158],"feature":[160],"extraction":[161],"efficiently":[163],"suppress":[164],"irrelevant":[165],"information.":[166],"We":[167],"evaluate":[168],"proposed":[170],"model\u2019s":[171],"performance":[173],"two":[175],"public":[176],"datasets,":[177],"IDRiD":[178,238],"DDR,":[180],"private":[183],"dataset,":[184,239],"an":[185,208],"ultra-wide-field":[186],"fundus":[187],"images":[188],"dataset.":[189],"Extensive":[190],"comparative":[191],"experiments":[192],"ablation":[194],"studies":[195],"are":[196],"conducted":[197],"across":[198],"multiple":[199],"datasets.":[200],"With":[201],"minimal":[202],"model":[203],"parameters,":[204],"approach":[206],"achieves":[207],"mAP_PR":[209],"60.51%,":[211],"34.83%,":[212],"14.35%":[214],"EX,":[219],"HE,":[220],"MA":[222],"DDR":[225],"dataset":[226],"also":[228],"obtains":[229],"excellent":[230],"results":[231],"EX":[233],"SE":[235],"validates":[241],"effectiveness":[243],"network.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2024-08-09T00:00:00"}
