{"id":"https://openalex.org/W2563674783","doi":"https://doi.org/10.1145/3009977.3010068","title":"Pap smear image classification using convolutional neural network","display_name":"Pap smear image classification using convolutional neural network","publication_year":2016,"publication_date":"2016-12-18","ids":{"openalex":"https://openalex.org/W2563674783","doi":"https://doi.org/10.1145/3009977.3010068","mag":"2563674783"},"language":"en","primary_location":{"id":"doi:10.1145/3009977.3010068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3010068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-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/A5021799894","display_name":"Kangkana Bora","orcid":"https://orcid.org/0000-0002-2668-686X"},"institutions":[{"id":"https://openalex.org/I4210148816","display_name":"Institute of Advanced Study in Science and Technology","ror":"https://ror.org/05mzfgt17","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210098748","https://openalex.org/I4210134808","https://openalex.org/I4210148816"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kangkana Bora","raw_affiliation_strings":["Institute of Advanced Study in Science and Technology, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Study in Science and Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210148816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026243453","display_name":"Manish Chowdhury","orcid":"https://orcid.org/0000-0002-7767-3399"},"institutions":[{"id":"https://openalex.org/I4210136707","display_name":"Swedish School of Sport and Health Sciences","ror":"https://ror.org/046hach49","country_code":"SE","type":"education","lineage":["https://openalex.org/I4210136707"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Manish Chowdhury","raw_affiliation_strings":["School of Technology and Health, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Technology and Health, Stockholm, Sweden","institution_ids":["https://openalex.org/I4210136707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061745691","display_name":"Lipi B. Mahanta","orcid":"https://orcid.org/0000-0002-7733-5461"},"institutions":[{"id":"https://openalex.org/I4210148816","display_name":"Institute of Advanced Study in Science and Technology","ror":"https://ror.org/05mzfgt17","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210098748","https://openalex.org/I4210134808","https://openalex.org/I4210148816"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lipi B. Mahanta","raw_affiliation_strings":["Institute of Advanced Study in Science and Technology, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Study in Science and Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210148816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033181114","display_name":"Malay K. Kundu","orcid":"https://orcid.org/0000-0002-9010-9100"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Malay K. Kundu","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052267211","display_name":"Anup Das","orcid":"https://orcid.org/0000-0002-5673-2636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anup K. Das","raw_affiliation_strings":["Ayursundra Healthcare Pvt. Ltd., Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Ayursundra Healthcare Pvt. Ltd., Guwahati, Assam, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021799894"],"corresponding_institution_ids":["https://openalex.org/I4210148816"],"apc_list":null,"apc_paid":null,"fwci":9.8549,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.98106556,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9851999878883362,"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9793999791145325,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7858900427818298},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7533590793609619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7400288581848145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7286974191665649},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6430360078811646},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5943827629089355},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5189526081085205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5096893310546875},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4428398013114929},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42687493562698364},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4166170060634613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20361068844795227}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7858900427818298},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7533590793609619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400288581848145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7286974191665649},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6430360078811646},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5943827629089355},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5189526081085205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5096893310546875},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4428398013114929},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42687493562698364},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4166170060634613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20361068844795227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3009977.3010068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3010068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1570613334","https://openalex.org/W1596717185","https://openalex.org/W1599324637","https://openalex.org/W1991560717","https://openalex.org/W2024569129","https://openalex.org/W2057836452","https://openalex.org/W2060542593","https://openalex.org/W2076242843","https://openalex.org/W2098360374","https://openalex.org/W2142989944","https://openalex.org/W2155813740","https://openalex.org/W2155893237","https://openalex.org/W2170505850","https://openalex.org/W2172000360","https://openalex.org/W2220384803","https://openalex.org/W2253429366","https://openalex.org/W2285442793","https://openalex.org/W2333683836","https://openalex.org/W2341106171","https://openalex.org/W2394653037","https://openalex.org/W2533800772","https://openalex.org/W2547049845","https://openalex.org/W2594262533","https://openalex.org/W2597851033","https://openalex.org/W2618530766","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2947839263","https://openalex.org/W3120400911","https://openalex.org/W4229443568","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"the":[3,27,62,131],"result":[4],"of":[5,19,59,61,97,135,143],"a":[6,32,66,160],"comprehensive":[7],"study":[8],"on":[9,31,48,118,159],"deep":[10],"learning":[11],"based":[12,117],"Computer":[13],"Aided":[14],"Diagnostic":[15],"techniques":[16],"for":[17,137],"classification":[18,136],"cervical":[20],"dysplasia":[21],"using":[22,83],"Pap":[23,67,175],"smear":[24,68,176],"images.":[25],"All":[26],"experiments":[28],"are":[29,110],"performed":[30,116],"real":[33],"indigenous":[34],"image":[35],"database":[36],"containing":[37],"1611":[38],"images,":[39],"generated":[40],"at":[41],"two":[42,98,152],"diagnostic":[43],"centres.":[44],"Focus":[45],"is":[46,77,115,148],"given":[47],"constructing":[49],"an":[50,84],"effective":[51],"feature":[52,81],"vector":[53],"which":[54],"can":[55],"perform":[56],"multiple":[57],"level":[58],"representation":[60],"features":[63],"hidden":[64],"in":[65,174],"image.":[69],"For":[70],"this":[71],"purpose":[72],"Deep":[73],"Convolutional":[74],"Neural":[75],"Network":[76],"used,":[78],"followed":[79],"by":[80],"selection":[82,114],"unsupervised":[85],"technique":[86],"with":[87,122,151],"Maximal":[88],"Information":[89],"Compression":[90],"Index":[91],"as":[92],"similarity":[93],"measure.":[94],"Finally":[95],"performance":[96],"classifiers":[99],"namely":[100],"Least":[101],"Square":[102],"Support":[103],"Vector":[104],"Machine":[105],"(LSSVM)":[106],"and":[107,112,140,156,166],"Softmax":[108],"Regression":[109],"monitored":[111],"classifier":[113],"five":[119,123],"measures":[120],"along":[121],"fold":[124],"cross":[125],"validation":[126],"technique.":[127],"Output":[128],"classes":[129],"reflects":[130],"established":[132],"Bethesda":[133],"system":[134,147,171],"identifying":[138],"pre-cancerous":[139],"cancerous":[141],"lesion":[142],"cervix.":[144],"The":[145],"proposed":[146,170],"also":[149,157],"compared":[150],"existing":[153],"conventional":[154],"systems":[155],"tested":[158],"publicly":[161],"available":[162],"database.":[163],"Experimental":[164],"results":[165],"comparison":[167],"shows":[168],"that":[169],"performs":[172],"efficiently":[173],"classification.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
