{"id":"https://openalex.org/W2823789008","doi":"https://doi.org/10.1109/ivcnz.2017.8402497","title":"Fast automatic segmentation of cells and nucleuses in large-scale liquid-based monolayer smear images","display_name":"Fast automatic segmentation of cells and nucleuses in large-scale liquid-based monolayer smear images","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2823789008","doi":"https://doi.org/10.1109/ivcnz.2017.8402497","mag":"2823789008"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2017.8402497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5101438596","display_name":"Jiahong Zhang","orcid":"https://orcid.org/0000-0002-5687-1839"},"institutions":[{"id":"https://openalex.org/I4210148968","display_name":"Metal Industries Research & Development Centre","ror":"https://ror.org/0584sxj05","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148968"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Hong Zhang","raw_affiliation_strings":["Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210148968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040451639","display_name":"Yan-Jun Chen","orcid":"https://orcid.org/0000-0002-1561-991X"},"institutions":[{"id":"https://openalex.org/I4210148968","display_name":"Metal Industries Research & Development Centre","ror":"https://ror.org/0584sxj05","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148968"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-Jun Chen","raw_affiliation_strings":["Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210148968"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu-Fen Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148968","display_name":"Metal Industries Research & Development Centre","ror":"https://ror.org/0584sxj05","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148968"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Fen Kuo","raw_affiliation_strings":["Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Medical Devices, Metal Industries Research & Development Centre, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210148968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101638454","display_name":"Chia\u2010Yen Chen","orcid":"https://orcid.org/0000-0001-9856-7301"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Chia-Yen Chen","raw_affiliation_strings":["Dept. of Computer Science, The University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25809881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9983999729156494,"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":0.9983999729156494,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.7692575454711914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471554040908813},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6114410758018494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6048619151115417},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5852388739585876},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5607767701148987},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5185549855232239},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36783647537231445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3212474584579468},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.320492684841156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2523798942565918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692575454711914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471554040908813},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6114410758018494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6048619151115417},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5852388739585876},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5607767701148987},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5185549855232239},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36783647537231445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3212474584579468},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.320492684841156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2523798942565918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2017.8402497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":38,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W151895561","https://openalex.org/W1510391338","https://openalex.org/W1977556410","https://openalex.org/W1994316895","https://openalex.org/W1995450389","https://openalex.org/W2001412060","https://openalex.org/W2006982476","https://openalex.org/W2009231756","https://openalex.org/W2020619173","https://openalex.org/W2027091505","https://openalex.org/W2033994961","https://openalex.org/W2041399057","https://openalex.org/W2054821087","https://openalex.org/W2076242843","https://openalex.org/W2080860745","https://openalex.org/W2080971197","https://openalex.org/W2082765213","https://openalex.org/W2091882796","https://openalex.org/W2096579040","https://openalex.org/W2099244020","https://openalex.org/W2104095591","https://openalex.org/W2106798291","https://openalex.org/W2112934038","https://openalex.org/W2119743834","https://openalex.org/W2119821739","https://openalex.org/W2121947440","https://openalex.org/W2133059825","https://openalex.org/W2142332605","https://openalex.org/W2145023731","https://openalex.org/W2149198114","https://openalex.org/W2163605009","https://openalex.org/W2280351290","https://openalex.org/W4229832454","https://openalex.org/W4239510810","https://openalex.org/W6606194389","https://openalex.org/W6681960554","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W2387482914","https://openalex.org/W2385217229","https://openalex.org/W2302472796","https://openalex.org/W2376822833","https://openalex.org/W2393164332","https://openalex.org/W4319781082","https://openalex.org/W2015245117","https://openalex.org/W2604503469","https://openalex.org/W2381972374"],"abstract_inverted_index":{"In":[0,38,102],"automated":[1],"cervical":[2],"cancer":[3],"screening,":[4],"the":[5,9,18,47,98,121,127,131],"segmentation":[6,49,93],"to":[7,83,96,125,143,181],"find":[8],"contours":[10,99,111,129],"of":[11,17,50,57,100,120,130,161,185],"cells":[12,51,85,132],"and":[13,27,35,52,74,113,133,150,155],"nucleuses":[14,53],"is":[15,64,81,123,141],"one":[16],"most":[19],"important":[20],"challenges.":[21],"Existing":[22],"methods":[23],"are":[24],"computationally":[25],"expensive":[26],"may":[28],"not":[29],"be":[30],"effective":[31],"for":[32,46,152],"both":[33,153],"normal":[34,154],"cancerous":[36,156],"cases.":[37],"this":[39],"paper,":[40],"we":[41,88,104],"propose":[42,89,105],"a":[43,75,90,169],"novel":[44],"approach":[45,95],"rapid":[48],"in":[54,147,164],"partial":[55],"image":[56,63,184],"large-scale":[58],"liquid-based":[59],"monolayer":[60],"smears.":[61],"The":[62],"first":[65],"enhanced":[66],"by":[67],"contrast":[68],"limited":[69],"adaptive":[70,108],"histogram":[71],"equalization":[72],"(CLAHE)":[73],"bilateral":[76],"filter.":[77],"Otsu's":[78],"double":[79],"thresholding":[80],"used":[82],"initialize":[84],"contours.":[86],"Afterwards,":[87],"robust":[91],"low-intensity":[92],"(RLIS)":[94],"initializes":[97],"nucleuses.":[101,134],"addition,":[103],"two":[106],"optimizers:":[107],"non-iterative":[109],"active":[110,114],"(ANAC)":[112],"contour":[115],"with":[116,158],"discretization":[117],"(ACWD).":[118],"One":[119],"optimizers":[122],"selected":[124],"optimize":[126],"initial":[128],"Experimental":[135],"results":[136],"show":[137],"that":[138],"our":[139,174],"method":[140,175],"able":[142],"achieve":[144],"above":[145],"85%":[146],"accuracy,":[148],"sensibility":[149],"specificity":[151],"cases":[157],"time":[159],"complexity":[160],"O(n).":[162],"Implemented":[163],"Python":[165],"(ver.":[166],"3.5)":[167],"on":[168],"3.4GHz":[170],"clock":[171],"rate":[172],"CPU,":[173],"takes":[176],"less":[177],"than":[178],"1":[179],"second":[180],"process":[182],"an":[183],"2048\u00d72048.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}