{"id":"https://openalex.org/W7084025339","doi":"https://doi.org/10.1049/ipr2.70220","title":"Automated Detection of Diabetic Retinopathy by Using Global Channel Attention Mechanism","display_name":"Automated Detection of Diabetic Retinopathy by Using Global Channel Attention Mechanism","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7084025339","doi":"https://doi.org/10.1049/ipr2.70220"},"language":"en","primary_location":{"id":"doi:10.1049/ipr2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70220","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70220","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jing Qin","orcid":"https://orcid.org/0009-0003-5259-0356"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Qin","raw_affiliation_strings":["School of Economics and Management Huanghuai University  Zhumadian Henan Province China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management Huanghuai University  Zhumadian Henan Province China","institution_ids":["https://openalex.org/I4210131125"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolong Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Bu","raw_affiliation_strings":["School of Computer and Artificial Intelligence Huanghuai University  Zhumadian Henan Province China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence Huanghuai University  Zhumadian Henan Province China","institution_ids":["https://openalex.org/I4210131125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131125"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200},"apc_paid":{"value":2000,"currency":"EUR","value_usd":2200},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55757081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10152","display_name":"Animal Nutrition and Physiology","score":0.5375000238418579,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10152","display_name":"Animal Nutrition and Physiology","score":0.5375000238418579,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10174","display_name":"Animal Behavior and Reproduction","score":0.2054000049829483,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.021700000390410423,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.677299976348877},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6014000177383423},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5566999912261963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4702000021934509},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.4648999869823456},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.35589998960494995},{"id":"https://openalex.org/keywords/retinopathy","display_name":"Retinopathy","score":0.3398999869823456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948999762535095},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.677299976348877},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6014000177383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705999732017517},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C2778313320","wikidata":"https://www.wikidata.org/wiki/Q550455","display_name":"Retinopathy","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2782000005245209},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.259799987077713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/ipr2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70220","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1049/ipr2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70220","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4582149386405945}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329524","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7084025339.pdf","grobid_xml":"https://content.openalex.org/works/W7084025339.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1969496006","https://openalex.org/W2194775991","https://openalex.org/W2234307896","https://openalex.org/W2557738935","https://openalex.org/W2752782242","https://openalex.org/W2762741128","https://openalex.org/W2884585870","https://openalex.org/W3008531067","https://openalex.org/W3021182036","https://openalex.org/W3084156874","https://openalex.org/W3153976901","https://openalex.org/W3210510019","https://openalex.org/W4229451621","https://openalex.org/W4283215312","https://openalex.org/W4311599947","https://openalex.org/W4313827473","https://openalex.org/W4317877444","https://openalex.org/W4381433571","https://openalex.org/W4386494539","https://openalex.org/W4391956976","https://openalex.org/W4392194228","https://openalex.org/W4398249615","https://openalex.org/W4399728115","https://openalex.org/W4402983333","https://openalex.org/W4408146260"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Diabetic":[1],"retinopathy":[2],"(DR),":[3],"a":[4,11,46],"major":[5],"ocular":[6],"complication":[7],"of":[8,58,85,101],"diabetes,":[9],"poses":[10],"significant":[12],"global":[13,47,54],"health":[14],"challenge.":[15],"Although":[16],"convolutional":[17],"neural":[18],"networks":[19],"(CNNs)":[20],"have":[21],"demonstrated":[22],"effectiveness":[23],"in":[24],"DR":[25],"grading":[26],"tasks,":[27],"their":[28,70],"ability":[29,71],"to":[30,72],"capture":[31],"long\u2010range":[32,74],"dependencies":[33],"scattered":[34],"across":[35],"fundus":[36],"images":[37],"remains":[38],"limited.":[39],"To":[40],"address":[41],"this":[42],"limitation,":[43],"we":[44],"propose":[45],"channel":[48],"attention":[49],"mechanism":[50],"that":[51,79],"incorporates":[52],"the":[53,90,99,102],"feature":[55],"extraction":[56],"capability":[57],"Vision":[59],"Transformer":[60],"(ViT)":[61],"while":[62],"maintaining":[63],"compatibility":[64],"with":[65],"CNN":[66],"architectures,":[67],"thereby":[68],"enhancing":[69],"model":[73,81],"dependencies.":[75],"Experimental":[76],"results":[77],"show":[78],"our":[80],"achieves":[82],"test":[83],"accuracies":[84],"88.49%":[86],"and":[87,94],"77.33%":[88],"on":[89],"augmented":[91],"APTOS":[92],"2019":[93],"Messidor\u20102":[95],"datasets,":[96],"respectively,":[97],"validating":[98],"efficacy":[100],"proposed":[103],"mechanism.":[104]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}