{"id":"https://openalex.org/W4313190347","doi":"https://doi.org/10.1109/tim.2022.3223077","title":"Sweat Gland Extraction From Optical Coherence Tomography Using Convolutional Neural Network","display_name":"Sweat Gland Extraction From Optical Coherence Tomography Using Convolutional Neural Network","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4313190347","doi":"https://doi.org/10.1109/tim.2022.3223077"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3223077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3223077","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100618240","display_name":"Yilong Zhang","orcid":"https://orcid.org/0000-0002-1510-5097"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yilong Zhang","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058704670","display_name":"Xiaojing Li","orcid":"https://orcid.org/0000-0003-1374-2014"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Li","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439428","display_name":"Haixia Wang","orcid":"https://orcid.org/0000-0002-2378-2725"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Wang","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035232422","display_name":"Ruxin Wang","orcid":"https://orcid.org/0000-0002-7187-7155"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruxin Wang","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659434","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0001-6122-0574"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001531117","display_name":"Ronghua Liang","orcid":"https://orcid.org/0000-0003-2077-9608"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Liang","raw_affiliation_strings":["College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and the College of Software, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100618240"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":1.7938,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85217391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sweat","display_name":"SWEAT","score":0.7216367125511169},{"id":"https://openalex.org/keywords/sweat-gland","display_name":"Sweat gland","score":0.672237753868103},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6678021550178528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6264627575874329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5374119877815247},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.531816840171814},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.49336662888526917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48381203413009644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44367220997810364},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41038423776626587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3929649889469147},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18151599168777466},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16735374927520752},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13561636209487915},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12304031848907471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11971399188041687},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11011707782745361}],"concepts":[{"id":"https://openalex.org/C63398376","wikidata":"https://www.wikidata.org/wiki/Q7395168","display_name":"SWEAT","level":2,"score":0.7216367125511169},{"id":"https://openalex.org/C2778040839","wikidata":"https://www.wikidata.org/wiki/Q243784","display_name":"Sweat gland","level":3,"score":0.672237753868103},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6678021550178528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6264627575874329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374119877815247},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.531816840171814},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.49336662888526917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48381203413009644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44367220997810364},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41038423776626587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3929649889469147},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18151599168777466},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16735374927520752},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13561636209487915},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12304031848907471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11971399188041687},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11011707782745361}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3223077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3223077","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2915880999","display_name":null,"funder_award_id":"61905218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7605770130","display_name":null,"funder_award_id":"61976189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7850665711","display_name":null,"funder_award_id":"62276236","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":45,"referenced_works":["https://openalex.org/W85861691","https://openalex.org/W1927424322","https://openalex.org/W1982172036","https://openalex.org/W1993921692","https://openalex.org/W2017274764","https://openalex.org/W2056370875","https://openalex.org/W2085261163","https://openalex.org/W2093177814","https://openalex.org/W2102744276","https://openalex.org/W2117621861","https://openalex.org/W2125785363","https://openalex.org/W2131635096","https://openalex.org/W2133059825","https://openalex.org/W2133393105","https://openalex.org/W2133665775","https://openalex.org/W2152535543","https://openalex.org/W2158359334","https://openalex.org/W2464708700","https://openalex.org/W2575842296","https://openalex.org/W2604762485","https://openalex.org/W2662765459","https://openalex.org/W2763549164","https://openalex.org/W2791165248","https://openalex.org/W2892300271","https://openalex.org/W2895933443","https://openalex.org/W2902557989","https://openalex.org/W2945741063","https://openalex.org/W2945952022","https://openalex.org/W2962914239","https://openalex.org/W2964993360","https://openalex.org/W2966780997","https://openalex.org/W2996881176","https://openalex.org/W2998801131","https://openalex.org/W2999538240","https://openalex.org/W3000066761","https://openalex.org/W3017850177","https://openalex.org/W3041955635","https://openalex.org/W3049644255","https://openalex.org/W3093519396","https://openalex.org/W3175579268","https://openalex.org/W3187446766","https://openalex.org/W3197841758","https://openalex.org/W4213317787","https://openalex.org/W4230579564","https://openalex.org/W6638667902"],"related_works":["https://openalex.org/W2391245565","https://openalex.org/W2110182821","https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W1995188412","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2000165426","https://openalex.org/W2385132419"],"abstract_inverted_index":{"As":[0],"the":[1,13,37,59,75,135,162,196,218,230,243,249,252,265,272,275],"Level":[2],"3":[3],"features":[4,114],"of":[5,15,62,77,140,164,168,204,239,257,268,274],"fingerprint,":[6],"sweat":[7,30,52,55,79,101,122,141,169,193,205,222,240,269],"pores":[8,31],"have":[9,19],"attracted":[10],"attention":[11],"in":[12,50,202],"field":[14],"fingerprint":[16,25,245],"recognition":[17,26,266],"and":[18,67,116,125,137,143,184,209,213,228,232,271],"been":[20],"successfully":[21],"applied":[22],"to":[23,58,69,98,133,144,160,191,195],"automatic":[24],"systems.":[27],"Traditional":[28],"surface":[29,197,244],"become":[32],"unclear":[33],"or":[34,42],"disappeared":[35],"when":[36],"finger":[38],"is":[39,96,131],"contaminated,":[40],"dried,":[41],"damaged.":[43],"These":[44,171],"unstable":[45],"factors":[46],"create":[47],"major":[48],"challenges":[49],"collecting":[51],"pores.":[53],"Subcutaneous":[54],"glands":[56,80,102,142,194,223,241,270],"belong":[57],"internal":[60],"tissues":[61],"fingers,":[63],"which":[64,263],"are":[65,158,189,200],"stable":[66],"immune":[68],"external":[70],"disturbances.":[71],"This":[72],"study":[73],"investigated":[74],"extraction":[76,115,147,224],"subcutaneous":[78,100],"from":[81,103,151],"fingertip":[82],"volume":[83,105],"data":[84],"collected":[85],"by":[86,149],"optical":[87],"coherence":[88],"tomography":[89],"(OCT).":[90],"First,":[91],"an":[92,110],"improved":[93],"multitask":[94,129],"V-Net":[95,259],"proposed":[97,159,219,276],"extract":[99],"OCT":[104],"data.":[106],"The":[107,128,211],"network":[108,220],"has":[109],"encoding":[111],"path":[112],"for":[113,120,221],"two":[117],"decoding":[118],"paths":[119],"extracting":[121],"gland":[123,206],"boundaries":[124],"regions,":[126],"respectively.":[127],"scheme":[130],"designed":[132],"enhance":[134],"boundary":[136],"shape":[138],"information":[139],"prevent":[145],"false":[146],"caused":[148],"interference":[150],"other":[152,226],"tissues.":[153],"Second,":[154],"three":[155,172],"mapping":[156,173,178,182,187],"methods":[157,227,234],"address":[161],"problem":[163],"different":[165],"spatial":[166],"orientations":[167],"glands.":[170],"methods,":[174],"namely,":[175],"global":[176],"direct":[177,181],"(GDM),":[179],"local":[180],"(LDM),":[183],"cylindrical":[185],"fitting":[186],"(CFM),":[188],"used":[190],"map":[192],"fingerprint.":[198],"Experiments":[199],"conducted":[201],"terms":[203],"extraction,":[207],"mapping,":[208],"matching.":[210],"qualitative":[212],"quantitative":[214],"results":[215],"show":[216],"that":[217,229],"outperforms":[225],"LDM":[231],"CFM":[233],"derive":[235],"more":[236],"accurate":[237],"positions":[238],"on":[242],"than":[246],"GDM.":[247],"In":[248],"matching":[250],"experiment,":[251],"equal":[253],"error":[254],"rate":[255],"(EER)":[256],"dual-decoding":[258],"(DDVN)":[260],"reached":[261],"0.58%,":[262],"verified":[264],"ability":[267],"effectiveness":[273],"network.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
