{"id":"https://openalex.org/W3133580303","doi":"https://doi.org/10.1109/jbhi.2021.3064366","title":"Automatic Acetowhite Lesion Segmentation via Specular Reflection Removal and Deep Attention Network","display_name":"Automatic Acetowhite Lesion Segmentation via Specular Reflection Removal and Deep Attention Network","publication_year":2021,"publication_date":"2021-03-08","ids":{"openalex":"https://openalex.org/W3133580303","doi":"https://doi.org/10.1109/jbhi.2021.3064366","mag":"3133580303","pmid":"https://pubmed.ncbi.nlm.nih.gov/33684051"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3064366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3064366","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014177040","display_name":"Zijie Yue","orcid":"https://orcid.org/0000-0003-3550-0630"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijie Yue","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-3550-0630","affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712879","display_name":"Shuai Ding","orcid":"https://orcid.org/0000-0002-8384-1950"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ding","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-8384-1950","affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679806","display_name":"Xiaojian Li","orcid":"https://orcid.org/0000-0002-3175-7810"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Li","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-3175-7810","affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070080394","display_name":"Shanlin Yang","orcid":"https://orcid.org/0000-0002-2965-2761"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanlin Yang","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-2965-2761","affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026996875","display_name":"Youtao Zhang","orcid":"https://orcid.org/0000-0001-8425-8743"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youtao Zhang","raw_affiliation_strings":["Department of Computer Science, University of Pittsburgh, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0001-8425-8743","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014177040"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.7148,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.905274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"9","first_page":"3529","last_page":"3540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10862","display_name":"AI in cancer detection","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9667999744415283,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7208607196807861},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7186890840530396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7038055658340454},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5933495163917542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4911072254180908},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4729616045951843},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45779353380203247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38879865407943726}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7208607196807861},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7186890840530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038055658340454},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5933495163917542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4911072254180908},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4729616045951843},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45779353380203247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38879865407943726}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002578","descriptor_name":"Uterine Cervical Dysplasia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002578","descriptor_name":"Uterine Cervical Dysplasia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002578","descriptor_name":"Uterine Cervical Dysplasia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2021.3064366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3064366","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33684051","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33684051","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G2524254208","display_name":null,"funder_award_id":"PA2020GDKC0020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3694036367","display_name":null,"funder_award_id":"PA2019GDQT0021","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5569142790","display_name":null,"funder_award_id":"PA2020GDGP0057","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6586346490","display_name":null,"funder_award_id":"61903115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7419943444","display_name":null,"funder_award_id":"91846107","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W305983188","https://openalex.org/W1486082332","https://openalex.org/W1502985866","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1982471090","https://openalex.org/W2012875423","https://openalex.org/W2036274000","https://openalex.org/W2096552575","https://openalex.org/W2104962368","https://openalex.org/W2105038642","https://openalex.org/W2123985590","https://openalex.org/W2138019331","https://openalex.org/W2161701030","https://openalex.org/W2165736859","https://openalex.org/W2170262872","https://openalex.org/W2295457343","https://openalex.org/W2463818697","https://openalex.org/W2560023338","https://openalex.org/W2600383743","https://openalex.org/W2739977037","https://openalex.org/W2754260727","https://openalex.org/W2772247370","https://openalex.org/W2889646458","https://openalex.org/W2914016683","https://openalex.org/W2917351544","https://openalex.org/W2941137223","https://openalex.org/W2949410220","https://openalex.org/W2953197682","https://openalex.org/W2954876976","https://openalex.org/W2955425717","https://openalex.org/W2962858109","https://openalex.org/W2962900571","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2964350391","https://openalex.org/W2971130081","https://openalex.org/W2979394680","https://openalex.org/W2988053426","https://openalex.org/W2997820082","https://openalex.org/W2999417355","https://openalex.org/W3008738260","https://openalex.org/W3021151504","https://openalex.org/W3024746232","https://openalex.org/W3035159724","https://openalex.org/W3044812225","https://openalex.org/W3049670509","https://openalex.org/W3071727253","https://openalex.org/W3091878842","https://openalex.org/W3102722996","https://openalex.org/W3102875249","https://openalex.org/W3112600384","https://openalex.org/W6639824700","https://openalex.org/W6694260854","https://openalex.org/W6735443497","https://openalex.org/W6758854563","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"acetowhite":[1,75,173],"lesion":[2,32,61,118,130],"segmentation":[3,44,87,131],"in":[4,10,77,172],"colposcopy":[5],"images":[6],"(cervigrams)":[7],"is":[8,71,94],"essential":[9],"assisting":[11],"gynecologists":[12,28],"for":[13,34],"the":[14,30,54,82,134,146],"diagnosis":[15,40,69],"of":[16,47,84],"cervical":[17,22],"intraepithelial":[18],"neoplasia":[19],"grades":[20],"and":[21,53,98,116,162,168],"cancer.":[23],"It":[24],"can":[25],"also":[26],"help":[27],"determine":[29],"correct":[31],"areas":[33,101],"further":[35],"pathological":[36],"examination.":[37],"Existing":[38],"computer-aided":[39,68],"algorithms":[41],"show":[42,155],"poor":[43],"performance":[45],"because":[46],"specular":[48,90],"reflections,":[49],"insufficient":[50],"training":[51],"data":[52],"inability":[55],"to":[56,73,96,112,125,144],"focus":[57],"on":[58,86,149],"semantically":[59],"meaningful":[60],"parts.":[62],"In":[63],"this":[64],"paper,":[65],"a":[66,89,107,127],"novel":[67],"algorithm":[70],"proposed":[72,135,147],"segment":[74],"lesions":[76],"cervigrams":[78],"automatically.":[79],"To":[80],"reduce":[81],"interference":[83],"specularities":[85],"performance,":[88],"reflection":[91],"removal":[92],"mechanism":[93],"presented":[95],"detect":[97],"inpaint":[99],"these":[100],"with":[102],"precision.":[103],"Moreover,":[104],"we":[105],"design":[106],"cervigram":[108],"image":[109],"classification":[110],"network":[111],"classify":[113],"pathology":[114],"results":[115,154],"generate":[117],"attention":[119],"maps,":[120],"which":[121],"are":[122],"subsequently":[123],"leveraged":[124],"guide":[126],"more":[128],"accurate":[129],"task":[132],"by":[133],"lesion-aware":[136],"convolutional":[137],"neural":[138],"network.":[139],"We":[140],"conducted":[141],"comprehensive":[142],"experiments":[143],"evaluate":[145],"approaches":[148,161],"3045":[150],"clinical":[151],"cervigrams.":[152],"Our":[153],"that":[156],"our":[157],"method":[158],"outperforms":[159],"state-of-the-art":[160],"achieves":[163],"better":[164],"Dice":[165],"similarity":[166],"coefficient":[167],"Hausdorff":[169],"Distance":[170],"values":[171],"legion":[174],"segmentation.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
