{"id":"https://openalex.org/W2789926374","doi":"https://doi.org/10.1109/tmi.2018.2815013","title":"Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells","display_name":"Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2789926374","doi":"https://doi.org/10.1109/tmi.2018.2815013","mag":"2789926374","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993863"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2815013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2815013","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-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/A5006903842","display_name":"Afaf Tareef","orcid":"https://orcid.org/0000-0001-7265-030X"},"institutions":[{"id":"https://openalex.org/I21173400","display_name":"Mutah University","ror":"https://ror.org/008g9ns82","country_code":"JO","type":"education","lineage":["https://openalex.org/I21173400"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Afaf Tareef","raw_affiliation_strings":["Information Technology Faculty, Mutah University, Karak, Jordan"],"affiliations":[{"raw_affiliation_string":"Information Technology Faculty, Mutah University, Karak, Jordan","institution_ids":["https://openalex.org/I21173400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041567418","display_name":"Yang Song","orcid":"https://orcid.org/0000-0003-1283-1672"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060016795","display_name":"Heng Huang","orcid":"https://orcid.org/0000-0002-3483-8333"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062531812","display_name":"Mei Chen","orcid":"https://orcid.org/0000-0001-9234-2515"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646919","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-9822-6782"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5006903842"],"corresponding_institution_ids":["https://openalex.org/I21173400"],"apc_list":null,"apc_paid":null,"fwci":7.4463,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.97684673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"37","issue":"9","first_page":"2044","last_page":"2059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9937999844551086,"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":0.9882000088691711,"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/watershed","display_name":"Watershed","score":0.7676721811294556},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6464135646820068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633089542388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993868708610535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5811426639556885},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5203173160552979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4679839611053467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.415807843208313}],"concepts":[{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.7676721811294556},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6464135646820068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633089542388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993868708610535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5811426639556885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5203173160552979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4679839611053467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.415807843208313}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002467","descriptor_name":"Cell Nucleus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002467","descriptor_name":"Cell Nucleus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002467","descriptor_name":"Cell Nucleus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","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":"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","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},{"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/tmi.2018.2815013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2815013","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:29993863","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993863","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:ses.library.usyd.edu.au:2123/20608","is_oa":false,"landing_page_url":"http://hdl.handle.net/2123/20608","pdf_url":null,"source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Post-print"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W87814561","https://openalex.org/W138469882","https://openalex.org/W1553863556","https://openalex.org/W1561442812","https://openalex.org/W1582640985","https://openalex.org/W1757171296","https://openalex.org/W1934355748","https://openalex.org/W1980243070","https://openalex.org/W2001412060","https://openalex.org/W2009231756","https://openalex.org/W2009960546","https://openalex.org/W2030616761","https://openalex.org/W2033994961","https://openalex.org/W2041399057","https://openalex.org/W2046805737","https://openalex.org/W2053469189","https://openalex.org/W2054362017","https://openalex.org/W2057836452","https://openalex.org/W2074487155","https://openalex.org/W2076242843","https://openalex.org/W2080828831","https://openalex.org/W2082555938","https://openalex.org/W2084335503","https://openalex.org/W2098360374","https://openalex.org/W2103304264","https://openalex.org/W2106798291","https://openalex.org/W2116040950","https://openalex.org/W2117108042","https://openalex.org/W2118246710","https://openalex.org/W2119774436","https://openalex.org/W2120549843","https://openalex.org/W2124260943","https://openalex.org/W2132284622","https://openalex.org/W2136988993","https://openalex.org/W2142343738","https://openalex.org/W2149544692","https://openalex.org/W2155813740","https://openalex.org/W2156065311","https://openalex.org/W2170249894","https://openalex.org/W2241732657","https://openalex.org/W2282781370","https://openalex.org/W2343237073","https://openalex.org/W2397045127","https://openalex.org/W2420843783","https://openalex.org/W2474583162","https://openalex.org/W2503988460","https://openalex.org/W2533621842","https://openalex.org/W2547049845","https://openalex.org/W2562616459","https://openalex.org/W2594815350","https://openalex.org/W3101378773","https://openalex.org/W4229832454","https://openalex.org/W4297745960","https://openalex.org/W6603520500","https://openalex.org/W6633117610","https://openalex.org/W6638005405","https://openalex.org/W6680608235","https://openalex.org/W6712118657","https://openalex.org/W6720622686","https://openalex.org/W6785764977"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1967061043"],"abstract_inverted_index":{"The":[0,59,77,99,146,183],"task":[1],"of":[2,14,29,51,73,126,143,148,189,195],"segmenting":[3],"cell":[4,49,95,119,144],"nuclei":[5,64],"and":[6,45,84,97,135,160,169,180,200],"cytoplasm":[7,46],"in":[8,19,55,111,177,193],"pap":[9],"smear":[10],"images":[11,164],"is":[12],"one":[13],"the":[15,27,63,69,81,94,112,118,123,127,149,167,190],"most":[16],"challenging":[17],"tasks":[18],"automated":[20],"cervix":[21],"cytological":[22],"analysis":[23],"due":[24],"to":[25,41,93,108,116,138],"specifically":[26],"presence":[28],"overlapping":[30,52,86,114,171],"cells.":[31],"This":[32],"paper":[33],"introduces":[34,102],"a":[35,74,89,140],"multi-pass":[36],"fast":[37],"watershed-based":[38],"method":[39,151],"(MPFW)":[40],"segment":[42],"both":[43],"nucleus":[44,110],"from":[47],"large":[48],"masses":[50],"cervical":[53,162,172],"cells":[54,87,129],"three":[56],"watershed":[57,67,90,128],"passes.":[58],"first":[60,168],"pass":[61,79,101],"locates":[62],"with":[65,88,132,204],"barrier-based":[66],"on":[68],"gradient-based":[70],"edge":[71],"map":[72],"pre-processed":[75],"image.":[76],"next":[78],"segments":[80],"isolated,":[82],"touching,":[83],"partially":[85],"transform":[91],"adapted":[92],"shape":[96],"location.":[98],"final":[100],"mutual":[103],"iterative":[104],"watersheds":[105],"separately":[106],"applied":[107],"each":[109],"largely":[113],"clusters":[115],"estimate":[117],"shape.":[120],"In":[121],"MPFW,":[122],"line-shaped":[124],"contours":[125],"are":[130],"deformed":[131],"ellipse":[133],"fitting":[134],"contour":[136],"adjustment":[137],"give":[139],"better":[141],"representation":[142],"shapes.":[145],"performance":[147,188],"proposed":[150,191],"has":[152],"been":[153],"evaluated":[154],"using":[155],"synthetic,":[156],"real":[157],"extended":[158],"depth-of-field,":[159],"multi-layers":[161],"cytology":[163,173],"provided":[165],"by":[166],"second":[170],"image":[174],"segmentation":[175,196],"challenges":[176],"ISBI":[178,181],"2014":[179],"2015.":[182],"experimental":[184],"results":[185],"demonstrate":[186],"superior":[187],"MPFW":[192],"terms":[194],"accuracy,":[197],"detection":[198],"rate,":[199],"time":[201],"complexity,":[202],"compared":[203],"recent":[205],"peer":[206],"methods.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
