{"id":"https://openalex.org/W2892046320","doi":"https://doi.org/10.1109/icip.2018.8451588","title":"Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images","display_name":"Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892046320","doi":"https://doi.org/10.1109/icip.2018.8451588","mag":"2892046320"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5073971906","display_name":"Marina E. Plissiti","orcid":"https://orcid.org/0000-0002-2344-9404"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Marina E. Plissiti","raw_affiliation_strings":["Dept. of Computer Science & Engineering, University of Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015782722","display_name":"Panagiotis Dimitrakopoulos","orcid":"https://orcid.org/0000-0002-0975-0735"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"P. Dimitrakopoulos","raw_affiliation_strings":["Dept. of Computer Science & Engineering, University of Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039126972","display_name":"Giorgos Sfikas","orcid":"https://orcid.org/0000-0002-7305-2886"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"G. Sfikas","raw_affiliation_strings":["\u201cDemokritos\u201d, CIL/IIT NCSR, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"\u201cDemokritos\u201d, CIL/IIT NCSR, Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058318737","display_name":"Christophoros Nikou","orcid":"https://orcid.org/0000-0003-1388-6915"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christophoros Nikou","raw_affiliation_strings":["Dept. of Computer Science & Engineering, University of Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054270819","display_name":"O. Krikoni","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"O. Krikoni","raw_affiliation_strings":["Dept. of Anatomy-Histology and Embryology, University of Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Anatomy-Histology and Embryology, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045620770","display_name":"Antonia Charchanti","orcid":"https://orcid.org/0000-0001-7402-4919"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Charchanti","raw_affiliation_strings":["Dept. of Anatomy-Histology and Embryology, University of Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Anatomy-Histology and Embryology, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073971906"],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":7.4468,"has_fulltext":false,"cited_by_count":281,"citation_normalized_percentile":{"value":0.97719805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3144","last_page":"3148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9890000224113464,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9531999826431274,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7369158267974854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7060500979423523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6264225840568542},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.612241268157959},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5988211035728455},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5697147250175476},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5430031418800354},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5396791100502014},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4181007444858551},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.413947194814682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34548622369766235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369158267974854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7060500979423523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6264225840568542},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.612241268157959},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5988211035728455},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5697147250175476},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5430031418800354},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5396791100502014},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4181007444858551},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.413947194814682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34548622369766235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1948751323","https://openalex.org/W2003927787","https://openalex.org/W2013600570","https://openalex.org/W2033691141","https://openalex.org/W2039689173","https://openalex.org/W2041399057","https://openalex.org/W2163605009","https://openalex.org/W2204975001","https://openalex.org/W2295537791","https://openalex.org/W2575351849","https://openalex.org/W2594262533","https://openalex.org/W2783112212","https://openalex.org/W6608313692","https://openalex.org/W6684191040","https://openalex.org/W6697161373","https://openalex.org/W6732396895","https://openalex.org/W6734900802","https://openalex.org/W6748218095"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W2545348020","https://openalex.org/W2380516047","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Classification":[0],"of":[1,22,30,46,85,113,134,151,161,171,201,216],"cervical":[2],"cells":[3,66,120],"in":[4,26,59,67,104,117,123,140,206],"Pap":[5,114],"smear":[6,115],"images":[7,17,173],"is":[8,35,72,143,204],"a":[9,73,210],"challenging":[10],"task":[11],"due":[12],"to":[13,61,99,208],"the":[14,20,23,27,31,44,101,119,135,138,169,199,214],"limitations":[15],"these":[16,172],"exhibit":[18],"and":[19,64,98,137,148,154,174,178,192,198],"complexity":[21],"morphological":[24],"changes":[25],"structural":[28],"parts":[29],"cells.":[32],"This":[33],"procedure":[34],"very":[36],"important":[37],"as":[38,87],"it":[39,71],"provides":[40],"fundamental":[41],"information":[42],"for":[43,158,168,213],"detection":[45],"cancerous":[47],"or":[48],"precancerous":[49],"lesions.":[50],"For":[51],"this":[52,96,105,184],"reason":[53],"several":[54],"algorithms":[55],"have":[56,165],"been":[57,166],"proposed":[58],"order":[60,207],"classify":[62],"normal":[63],"abnormal":[65],"such":[68],"images.":[69],"However,":[70],"common":[74],"phenomenon":[75],"that":[76],"each":[77,141,159,202],"research":[78,102],"group":[79],"usually":[80],"creates":[81],"its":[82],"own":[83],"dataset":[84],"images,":[86,116],"well-established":[88],"datasets":[89],"are":[90,121,156,196],"not":[91],"publicly":[92],"available.":[93],"To":[94],"overcome":[95],"obstacle":[97],"assist":[100],"progress":[103],"field,":[106],"we":[107],"present":[108],"an":[109],"annotated":[110],"image":[111,142,179],"database":[112],"which":[118],"categorized":[122],"five":[124],"different":[125],"classes,":[126],"depending":[127],"on":[128,188],"their":[129],"cytomorphological":[130],"features.":[131],"The":[132],"area":[133],"cytoplasm":[136],"nucleus":[139],"manually":[144],"defined":[145],"by":[146],"experts":[147],"salient":[149],"features":[150],"intensity,":[152],"texture":[153],"shape":[155],"calculated":[157],"region":[160],"interest.":[162],"Several":[163],"experiments":[164],"performed":[167],"classification":[170,181,218],"they":[175],"include":[176],"feature":[177],"based":[180,187],"schemes.":[182],"In":[183],"direction,":[185],"methods":[186],"support":[189],"vector":[190],"machines":[191],"deep":[193],"neural":[194],"networks":[195],"tested":[197],"performance":[200],"classifier":[203],"presented":[205],"constitute":[209],"reference":[211],"point":[212],"evaluation":[215],"future":[217],"techniques.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":79},{"year":2024,"cited_by_count":65},{"year":2023,"cited_by_count":50},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
