{"id":"https://openalex.org/W2123985590","doi":"https://doi.org/10.1109/tmi.2009.2037201","title":"Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images","display_name":"Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images","publication_year":2010,"publication_date":"2010-02-01","ids":{"openalex":"https://openalex.org/W2123985590","doi":"https://doi.org/10.1109/tmi.2009.2037201","mag":"2123985590","pmid":"https://pubmed.ncbi.nlm.nih.gov/20129849"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2009.2037201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2037201","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/A5028310125","display_name":"Amir Alush","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"A. Alush","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, 69978 Tel Aviv, Israel. amiralus@post.tau.ac.il","Dept. of Biomed. Eng., Tel-Aviv Univ., Tel-Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, 69978 Tel Aviv, Israel. amiralus@post.tau.ac.il","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Tel-Aviv Univ., Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078473649","display_name":"Hayit Greenspan","orcid":"https://orcid.org/0000-0001-6908-7552"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"H. Greenspan","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel","Dept. of Biomed. Eng., Tel-Aviv Univ., Tel-Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Tel-Aviv Univ., Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005409420","display_name":"Jacob Goldberger","orcid":"https://orcid.org/0000-0002-2225-1914"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"J. Goldberger","raw_affiliation_strings":["Sch. of Eng., Bar Ilan Univ., Ramat Gan, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sch. of Eng., Bar Ilan Univ., Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2144,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92446848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"488","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9980999827384949,"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":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9923999905586243,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9819999933242798,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750095129013062},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7377290725708008},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.677705705165863},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6266627311706543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6060604453086853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595580518245697},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.5274103879928589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5120447278022766},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.44202202558517456},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4300592243671417}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750095129013062},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7377290725708008},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.677705705165863},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6266627311706543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6060604453086853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595580518245697},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.5274103879928589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5120447278022766},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.44202202558517456},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4300592243671417}],"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2009.2037201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2037201","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:20129849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20129849","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:CiteSeerX.psu:10.1.1.656.8362","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.656.8362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng.biu.ac.il/%7Egoldbej/papers/TMI_Alush_2010.pdf?origin%3Dpublication_detail","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W115732276","https://openalex.org/W129804969","https://openalex.org/W1528147907","https://openalex.org/W1562474711","https://openalex.org/W1567885833","https://openalex.org/W1732439177","https://openalex.org/W1969875009","https://openalex.org/W1974413906","https://openalex.org/W2006121877","https://openalex.org/W2033403400","https://openalex.org/W2038607949","https://openalex.org/W2041770927","https://openalex.org/W2046444175","https://openalex.org/W2055706447","https://openalex.org/W2056547310","https://openalex.org/W2057175746","https://openalex.org/W2073152679","https://openalex.org/W2077033818","https://openalex.org/W2101809078","https://openalex.org/W2107034620","https://openalex.org/W2111936115","https://openalex.org/W2117555834","https://openalex.org/W2119300483","https://openalex.org/W2121927366","https://openalex.org/W2124110101","https://openalex.org/W2124260943","https://openalex.org/W2129814234","https://openalex.org/W2129872026","https://openalex.org/W2132311780","https://openalex.org/W2133843828","https://openalex.org/W2139584236","https://openalex.org/W2143391725","https://openalex.org/W2145023731","https://openalex.org/W2150117517","https://openalex.org/W2153545592","https://openalex.org/W2154588766","https://openalex.org/W2159080219","https://openalex.org/W2160754664","https://openalex.org/W2161701030","https://openalex.org/W2165914352","https://openalex.org/W2294819727","https://openalex.org/W2296770417","https://openalex.org/W4234235766","https://openalex.org/W4244030505","https://openalex.org/W4246070160","https://openalex.org/W4285719527","https://openalex.org/W6605312221","https://openalex.org/W6660851395","https://openalex.org/W6662413207","https://openalex.org/W6669619352"],"related_works":["https://openalex.org/W2126747775","https://openalex.org/W2092834568","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2095844239","https://openalex.org/W2068651737","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4233585817"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,27,51,106,118],"procedure":[4],"for":[5],"automatic":[6],"extraction":[7],"and":[8,22],"segmentation":[9,42,114,135],"of":[10,33,44,71,84,94,105],"class-specific":[12,18],"object":[13,96],"(or":[14],"region)":[15],"by":[16],"learning":[17,104],"boundaries.":[19],"We":[20],"describe":[21],"evaluate":[23],"the":[24,31,45,67,72,82,85,90,95,124],"method":[25],"with":[26],"specific":[28],"focus":[29],"on":[30,81,102,130,137],"detection":[32],"lesion":[34,73,112],"regions":[35,59],"in":[36,56],"uterine":[37],"cervix":[38],"images.":[39],"The":[40,77,98,110],"watershed":[41,58,86,125],"map":[43,87],"input":[46],"image":[47],"is":[48,69,92,115],"modeled":[49],"using":[50,117],"Markov":[52],"random":[53,63],"field":[54],"(MRF)":[55],"which":[57],"correspond":[60],"to":[61,123],"binary":[62],"variables":[64],"indicating":[65],"whether":[66,89],"region":[68,113],"part":[70,93],"tissue":[74],"or":[75],"not.":[76],"local":[78],"pairwise":[79],"factors":[80,99],"arcs":[83],"indicate":[88],"arc":[91],"boundary.":[97],"are":[100],"based":[101],"supervised":[103],"visual":[107],"word":[108],"distribution.":[109],"final":[111],"obtained":[116],"loopy":[119],"belief":[120],"propagation":[121],"applied":[122],"arc-level":[126],"MRF.":[127],"Experimental":[128],"results":[129,136],"real":[131],"data":[132],"show":[133],"state-of-the-art":[134],"this":[138],"very":[139],"challenging":[140],"task":[141],"that,":[142],"if":[143],"necessary,":[144],"can":[145],"be":[146],"interactively":[147],"enhanced.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}