{"id":"https://openalex.org/W4405755413","doi":"https://doi.org/10.1109/access.2024.3521937","title":"Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network","display_name":"Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405755413","doi":"https://doi.org/10.1109/access.2024.3521937"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3521937","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3521937","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3521937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007095236","display_name":"Hang Thi Phuong Nguyen","orcid":"https://orcid.org/0000-0002-2016-9191"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hang Thi Phuong Nguyen","raw_affiliation_strings":["Department of Artificial Intelligence Convergence, Chonnam National University, Buk-gu, Gwangju, Republic of Korea","Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2016-9191","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Chonnam National University, Buk-gu, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081468926","display_name":"Hieyong Jeong","orcid":"https://orcid.org/0000-0002-8135-8252"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hieyong Jeong","raw_affiliation_strings":["Department of Artificial Intelligence Convergence, Chonnam National University, Buk-gu, Gwangju, Republic of Korea","Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8135-8252","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Chonnam National University, Buk-gu, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6771,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72667673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"1697","last_page":"1713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11330","display_name":"Systemic Sclerosis and Related Diseases","score":0.4544000029563904,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/T11330","display_name":"Systemic Sclerosis and Related Diseases","score":0.4544000029563904,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/T11172","display_name":"Dermatologic Treatments and Research","score":0.44940000772476196,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.492178350687027},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4913767874240875},{"id":"https://openalex.org/keywords/fold","display_name":"Fold (higher-order function)","score":0.4909346401691437},{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology (biology)","score":0.45301181077957153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2977263331413269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18390944600105286},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13464561104774475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.492178350687027},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4913767874240875},{"id":"https://openalex.org/C53942344","wikidata":"https://www.wikidata.org/wiki/Q951651","display_name":"Fold (higher-order function)","level":2,"score":0.4909346401691437},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.45301181077957153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2977263331413269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18390944600105286},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13464561104774475},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3521937","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3521937","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:854e692b19ea40ca8dbe89ea117b2634","is_oa":true,"landing_page_url":"https://doaj.org/article/854e692b19ea40ca8dbe89ea117b2634","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 1697-1713 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3521937","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3521937","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G343559360","display_name":null,"funder_award_id":"NRF-2021R1I1A3055210","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1976259935","https://openalex.org/W2001120342","https://openalex.org/W2072871908","https://openalex.org/W2107797783","https://openalex.org/W2332086491","https://openalex.org/W2564030800","https://openalex.org/W2565639579","https://openalex.org/W2593568223","https://openalex.org/W2743069733","https://openalex.org/W2765407302","https://openalex.org/W2783955363","https://openalex.org/W2963857746","https://openalex.org/W3018757597","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3043995050","https://openalex.org/W3044545541","https://openalex.org/W3093307748","https://openalex.org/W3096609285","https://openalex.org/W3198730749","https://openalex.org/W3209093918","https://openalex.org/W3215073785","https://openalex.org/W4200634144","https://openalex.org/W4241883936","https://openalex.org/W4280543440","https://openalex.org/W4280607206","https://openalex.org/W4289174559","https://openalex.org/W4289752563","https://openalex.org/W4295939638","https://openalex.org/W4297373195","https://openalex.org/W4297676427","https://openalex.org/W4307411363","https://openalex.org/W4382059335","https://openalex.org/W4385195002","https://openalex.org/W4386076325","https://openalex.org/W4387843825","https://openalex.org/W4390970566","https://openalex.org/W4392013638","https://openalex.org/W4396557518","https://openalex.org/W4396700092","https://openalex.org/W4399411648","https://openalex.org/W4400368323","https://openalex.org/W4403770406","https://openalex.org/W4404520461","https://openalex.org/W6685385213","https://openalex.org/W6743770552","https://openalex.org/W6750227808","https://openalex.org/W6791602514","https://openalex.org/W6803025337","https://openalex.org/W6862521569","https://openalex.org/W6873058455"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1181095405","https://openalex.org/W3014426369","https://openalex.org/W4240318783","https://openalex.org/W2311285072","https://openalex.org/W1573293794","https://openalex.org/W783636722","https://openalex.org/W2292230535"],"abstract_inverted_index":{"The":[0,197],"analysis":[1,212],"of":[2,15,24,52,60,115,148,171],"nail-fold":[3,37,71,98,210],"anatomy":[4],"can":[5],"effectively":[6],"evaluate":[7],"microcirculation":[8],"and":[9,100,124,129,155,187,213],"diagnose":[10],"vascular-related":[11],"diseases.":[12],"Early":[13],"detection":[14,78,109,114,208],"these":[16],"conditions":[17],"is":[18,29],"crucial":[19],"due":[20],"to":[21,92,111,160,179],"the":[22,34,50,58,113,161],"risk":[23],"severe":[25],"complications":[26],"if":[27],"intervention":[28],"delayed.":[30],"Extensive":[31],"research":[32,201],"supports":[33],"notion":[35],"that":[36],"capillary":[38,53,72],"morphology":[39,73],"serves":[40],"as":[41],"a":[42,66,83,108,135,168],"critical":[43],"biomarker":[44],"for":[45,69,80,204],"various":[46],"disease":[47],"processes,":[48],"with":[49,146],"degree":[51],"structural":[54],"damage":[55],"potentially":[56,215],"reflecting":[57],"involvement":[59],"internal":[61],"organs.":[62],"This":[63,165],"study":[64,91],"proposes":[65],"non-invasive":[67],"methodology":[68],"detecting":[70,97],"by":[74],"integrating":[75],"an":[76,89],"object":[77],"model":[79],"improvement":[81,137],"within":[82],"deep":[84],"learning":[85],"framework.":[86],"We":[87,173],"conducted":[88],"ablation":[90],"enhance":[93,180],"YOLOv8\u2019s":[94],"performance":[95,182],"in":[96,138,150,153,157,167,193,219],"capillaries":[99],"classifying":[101],"their":[102],"morphology.":[103],"Our":[104],"enhancements":[105],"included":[106],"adding":[107],"layer":[110],"improve":[112],"various-sized":[116],"objects,":[117],"implementing":[118],"Efficient":[119],"Channel":[120],"Attention":[121],"(ECA)":[122],"mechanisms,":[123],"incorporating":[125],"data":[126],"augmentation":[127],"techniques":[128],"hyper-parameter":[130],"tuning.":[131],"These":[132],"modifications":[133],"yielded":[134],"notable":[136],"mean":[139],"Average":[140],"Precision":[141],"at":[142],"IoU":[143],"0.50":[144],"(mAP@50),":[145],"increases":[147],"3.7%":[149],"mAP,":[151],"3.6%":[152],"precision,":[154],"2.5%":[156],"recall":[158],"compared":[159],"baseline":[162],"YOLOv8":[163],"model.":[164],"culminated":[166],"mAP@50":[169],"score":[170],"79.9%.":[172],"also":[174],"utilized":[175],"Slicing-Aided":[176],"Hyperinference":[177],"(SAHI)":[178],"inference":[181],"on":[183],"untrained":[184],"multi-scale":[185],"images":[186],"smaller":[188],"capillaries,":[189],"demonstrating":[190],"significant":[191],"effectiveness":[192],"real-time":[194,217],"testing":[195],"scenarios.":[196],"results":[198],"from":[199],"this":[200],"are":[202],"promising":[203],"advancing":[205],"early-stage":[206],"diabetes":[207],"using":[209],"image":[211],"could":[214],"enable":[216],"applications":[218],"clinical":[220],"environments.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
