{"id":"https://openalex.org/W3016567150","doi":"https://doi.org/10.1109/icaiic48513.2020.9065196","title":"Automatic Approach for Cervical Cancer Detection Based on Deep Belief Network (DBN) Using Colposcopy Data","display_name":"Automatic Approach for Cervical Cancer Detection Based on Deep Belief Network (DBN) Using Colposcopy Data","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3016567150","doi":"https://doi.org/10.1109/icaiic48513.2020.9065196","mag":"3016567150"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065196","doi":"https://doi.org/10.1109/icaiic48513.2020.9065196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065196","pdf_url":null,"source":{"id":"https://openalex.org/S7407088616","display_name":"International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5054658169","display_name":"Dian Candra Rini Novitasari","orcid":"https://orcid.org/0000-0003-1593-6808","observed_orcids":["https://orcid.org/0000-0003-1593-6808"]},"institutions":[{"id":"https://openalex.org/I4210090649","display_name":"UIN Sunan Ampel Surabaya","ror":"https://ror.org/009cc1d57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210090649"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dian Candra Rini Novitasari","raw_affiliation_strings":["Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210090649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071377371","display_name":"Ahmad Zoebad Foeady","orcid":"https://orcid.org/0000-0002-0464-2508","observed_orcids":["https://orcid.org/0000-0002-0464-2508"]},"institutions":[{"id":"https://openalex.org/I4210090649","display_name":"UIN Sunan Ampel Surabaya","ror":"https://ror.org/009cc1d57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210090649"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ahmad Zoebad Foeady","raw_affiliation_strings":["Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210090649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030307445","display_name":"Muhammad Thohir","orcid":"https://orcid.org/0000-0002-5323-384X","observed_orcids":["https://orcid.org/0000-0002-5323-384X"]},"institutions":[{"id":"https://openalex.org/I4210090649","display_name":"UIN Sunan Ampel Surabaya","ror":"https://ror.org/009cc1d57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210090649"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Thohir","raw_affiliation_strings":["Department of Arabic Language Education, UIN Sunan Ampel Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Arabic Language Education, UIN Sunan Ampel Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210090649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054448038","display_name":"Ahmad Zaenal Arifin","orcid":"https://orcid.org/0000-0002-1073-1646","observed_orcids":["https://orcid.org/0000-0002-1073-1646"]},"institutions":[{"id":"https://openalex.org/I4405276598","display_name":"Universitas PGRI Ronggolawe","ror":"https://ror.org/05qxpt652","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276598"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ahmad Zaenal Arifin","raw_affiliation_strings":["Department of Mathematics, Universitas PGRI Ronggolawe, Tuban, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Universitas PGRI Ronggolawe, Tuban, Indonesia","institution_ids":["https://openalex.org/I4405276598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083533314","display_name":"Khoirun Niam","orcid":"https://orcid.org/0000-0003-1664-4348","observed_orcids":["https://orcid.org/0000-0003-1664-4348"]},"institutions":[{"id":"https://openalex.org/I4210090649","display_name":"UIN Sunan Ampel Surabaya","ror":"https://ror.org/009cc1d57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210090649"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Khoirun Niam","raw_affiliation_strings":["Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210090649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071098037","display_name":"Ahmad Hanif Asyhar","orcid":"https://orcid.org/0000-0001-6730-9166","observed_orcids":["https://orcid.org/0000-0001-6730-9166"]},"institutions":[{"id":"https://openalex.org/I4210090649","display_name":"UIN Sunan Ampel Surabaya","ror":"https://ror.org/009cc1d57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210090649"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ahmad Hanif Asyhar","raw_affiliation_strings":["Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, UIN Sunan Ampel Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210090649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1197,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.81854982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9916999936103821,"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":0.9916999936103821,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cervical-cancer-detection","display_name":"cervical cancer detection","score":0.9800000190734863},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"deep belief network","score":0.8360000252723694},{"id":"https://openalex.org/keywords/colposcopy-images","display_name":"colposcopy images","score":0.9120000004768372},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":1.0},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.8550000190734863},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"histogram equalization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/median-filtering","display_name":"median filter","score":0.9190000295639038},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.503000020980835},{"id":"https://openalex.org/keywords/early-cancer-detection","display_name":"early cancer detection","score":0.9039999842643738}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7079020738601685},{"id":"https://openalex.org/C2776117191","wikidata":"https://www.wikidata.org/wiki/Q912741","display_name":"Colposcopy","level":4,"score":0.7066994905471802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579484939575195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556951999664307},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5828551054000854},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5789580345153809},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.5753592252731323},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5021615028381348},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4856087267398834},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.48182836174964905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4790952503681183},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4148099720478058},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3807216286659241},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28655415773391724},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17625027894973755},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16398587822914124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1401350498199463},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065196","doi":"https://doi.org/10.1109/icaiic48513.2020.9065196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065196","pdf_url":null,"source":{"id":"https://openalex.org/S7407088616","display_name":"International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W210450407","https://openalex.org/W292488259","https://openalex.org/W1971905072","https://openalex.org/W2086370758","https://openalex.org/W2093008903","https://openalex.org/W2093358637","https://openalex.org/W2101196984","https://openalex.org/W2130059474","https://openalex.org/W2171812358","https://openalex.org/W2268254137","https://openalex.org/W2460852604","https://openalex.org/W2586619543","https://openalex.org/W2611332446","https://openalex.org/W2774828403","https://openalex.org/W2782270744","https://openalex.org/W2809798217","https://openalex.org/W2886424534","https://openalex.org/W2897618994","https://openalex.org/W2900257566","https://openalex.org/W2901208058","https://openalex.org/W2955166669","https://openalex.org/W4211097225","https://openalex.org/W4238134701","https://openalex.org/W7010245362"],"related_works":["https://openalex.org/W7160145544","https://openalex.org/W3013739129","https://openalex.org/W4410853864","https://openalex.org/W4312839084","https://openalex.org/W4318022674","https://openalex.org/W4313003963","https://openalex.org/W4410320905","https://openalex.org/W4411446970","https://openalex.org/W4372056399","https://openalex.org/W3202708905"],"abstract_inverted_index":{"Cervical":[0],"cancer":[1,16,42,130,154],"is":[2,17,64,73,84,107,135,143],"one":[3],"of":[4,46,79,110,128,141,150],"the":[5,8,13,20,44,47,68,77,101,108,114,125,132,139,148],"diseases":[6],"with":[7,43,155],"highest":[9],"mortality":[10],"rate.":[11],"In":[12],"world,":[14],"cervical":[15,41,129,153],"ranked":[18],"as":[19,59],"fourth":[21],"most":[22],"dangerous":[23],"disease.":[24],"Based":[25,137],"on":[26,138],"these":[27],"problems,":[28],"this":[29],"paper":[30],"can":[31],"be":[32,94],"an":[33],"alternative":[34],"to":[35,66,75,145],"help":[36,45,146],"medical":[37],"authorities":[38],"in":[39],"detecting":[40],"Computer-Aided":[48],"Diagnosis":[49],"(CAD)":[50],"System.":[51],"CAD":[52],"System":[53],"used":[54,83],"has":[55],"two":[56],"processes,":[57],"such":[58],"preprocessing":[60],"and":[61,88],"classification.":[62],"Preprocessing":[63,82,91],"useful":[65],"improve":[67],"image":[69],"so":[70],"that":[71],"it":[72],"easier":[74],"do":[76],"process":[78,109,127],"identifying":[80],"features.":[81],"greyscale,":[85],"histogram":[86],"equalization,":[87],"median":[89],"filter.":[90],"results":[92,122,140],"will":[93],"formed":[95],"into":[96],"a":[97],"vector":[98],"matrix":[99],"using":[100,113,131],"reshaping":[102],"process.":[103],"The":[104,119],"final":[105],"step":[106],"classifying":[111],"data":[112],"Deep":[115],"Belief":[116],"Network":[117],"method.":[118],"best":[120],"accuracy":[121],"obtained":[123],"from":[124,152],"identification":[126],"DBN":[133],"method":[134],"84%.":[136],"accuracy,":[142],"expected":[144],"reduce":[147],"number":[149],"deaths":[151],"early":[156],"detection.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-04-24T00:00:00"}