{"id":"https://openalex.org/W4294975274","doi":"https://doi.org/10.1109/embc48229.2022.9871171","title":"Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features","display_name":"Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4294975274","doi":"https://doi.org/10.1109/embc48229.2022.9871171","pmid":"https://pubmed.ncbi.nlm.nih.gov/36083935"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871171","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-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/A5018200908","display_name":"D\u00e1vid Kup\u00e1s","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"David Kupas","raw_affiliation_strings":["University of Debrecen,Faculty of Informatics,Department of Data Science and Visualization,Debrecen,Postcode 4028"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Debrecen,Faculty of Informatics,Department of Data Science and Visualization,Debrecen,Postcode 4028","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024867067","display_name":"Bal\u00e1zs Harangi","orcid":"https://orcid.org/0000-0003-4405-2040"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Balazs Harangi","raw_affiliation_strings":["University of Debrecen,Faculty of Informatics,Department of Data Science and Visualization,Debrecen,Postcode 4028"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Debrecen,Faculty of Informatics,Department of Data Science and Visualization,Debrecen,Postcode 4028","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5191,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63525046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"1452","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9945999979972839,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9765999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099493980407715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7221817374229431},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.721609890460968},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6366674900054932},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.561196506023407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5400621891021729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5058802962303162},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.487968385219574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46858733892440796},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46516895294189453},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46505483984947205},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4430880546569824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22725039720535278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099493980407715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7221817374229431},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.721609890460968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6366674900054932},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.561196506023407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5400621891021729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5058802962303162},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.487968385219574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46858733892440796},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46516895294189453},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46505483984947205},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4430880546569824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22725039720535278},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"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":"D014626","descriptor_name":"Vaginal Smears","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014626","descriptor_name":"Vaginal Smears","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014626","descriptor_name":"Vaginal Smears","qualifier_ui":"Q000379","qualifier_name":"methods","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},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D065006","descriptor_name":"Papanicolaou Test","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D065006","descriptor_name":"Papanicolaou Test","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D065006","descriptor_name":"Papanicolaou Test","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc48229.2022.9871171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871171","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36083935","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36083935","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:real.mtak.hu:150456","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400081","display_name":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210140733","host_organization_name":"Library and Information Centre of the Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210140733"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2569692285","https://openalex.org/W2604496692","https://openalex.org/W2612321414","https://openalex.org/W2616720730","https://openalex.org/W2728813321","https://openalex.org/W2807436399","https://openalex.org/W2917953120","https://openalex.org/W2963446712","https://openalex.org/W2982083293","https://openalex.org/W3009901339","https://openalex.org/W3102737931","https://openalex.org/W3180576774","https://openalex.org/W6737437152"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891"],"abstract_inverted_index":{"The":[0,84,167],"classification":[1,82,169,192,214],"of":[2,19,40,46,107,114,129,141,150,170,183,189,222],"cells":[3,172],"extracted":[4,21,152],"from":[5,153],"Pap-smears":[6,41],"is":[7,26,61,90,118,161,216],"in":[8,29,131,163,219],"most":[9],"cases":[10],"done":[11,119],"using":[12,120,138,156],"neural":[13,76],"network":[14,77],"architectures.":[15],"Nevertheless,":[16],"the":[17,88,98,108,115,139,171,187,190,220],"importance":[18],"features":[20,50,67,72,89,100],"with":[22,70],"digital":[23,154],"image":[24],"processing":[25],"also":[27,91,194],"discussed":[28,162],"many":[30,164],"related":[31],"articles.":[32],"Decision":[33],"support":[34],"systems":[35],"and":[36,143,176],"automated":[37],"analysis":[38],"tools":[39,160],"often":[42],"use":[43],"these":[44],"kinds":[45],"manually":[47],"extracted,":[48],"global":[49],"based":[51],"on":[52],"clinical":[53,125],"expert":[54],"opinion.":[55],"In":[56],"this":[57],"paper,":[58],"a":[59,75,95,121,180,209],"solution":[60],"introduced":[62],"where":[63],"29":[64],"different":[65],"contextual":[66,142],"are":[68,101],"combined":[69],"local":[71,144],"learned":[73],"by":[74,124],"so":[78],"that":[79,97,205],"it":[80],"increases":[81],"performance.":[83],"weight":[85],"distribution":[86],"between":[87],"investigated":[92],"leading":[93],"to":[94,198,208],"conclusion":[96],"numerical":[99],"indeed":[102],"forming":[103],"an":[104],"important":[105],"part":[106],"learning":[109,159],"process.":[110],"Furthermore,":[111],"extensive":[112],"testing":[113],"presented":[116],"methods":[117],"dataset":[122],"annotated":[123],"experts.":[126],"An":[127],"increase":[128],"3.2%":[130],"F1-Score":[132],"value":[133],"can":[134,173,193,206],"be":[135,174,195],"observed":[136],"when":[137],"combination":[140],"features.":[145],"Clinical":[146],"Relevance":[147],"-":[148],"Analysis":[149],"images":[151],"Pap-test":[155],"modern":[157],"machine":[158],"scientific":[165],"papers.":[166],"manual":[168,184,191],"time-consuming":[175],"expensive":[177],"which":[178],"requires":[179],"high":[181],"amount":[182],"labor.":[185],"Furthermore":[186],"result":[188,204],"uncertain":[196],"due":[197],"interobserver":[199],"variability.":[200],"Considering":[201],"these,":[202],"any":[203],"lead":[207],"more":[210],"reliable":[211],"highly":[212],"accurate":[213],"method":[215],"considered":[217],"valuable":[218],"field":[221],"cervical":[223],"cancer":[224],"screening.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}