{"id":"https://openalex.org/W4362693605","doi":"https://doi.org/10.1117/12.2654516","title":"Fast detection and localization of mitosis using a semi-supervised deep representation","display_name":"Fast detection and localization of mitosis using a semi-supervised deep representation","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362693605","doi":"https://doi.org/10.1117/12.2654516"},"language":"en","primary_location":{"id":"doi:10.1117/12.2654516","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","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/A5070914572","display_name":"Santiago Andr\u00e9s Castro Duitama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santiago Andr\u00e9s Castro Duitama","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029225639","display_name":"David Edmundo Romo Bucheli","orcid":null},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"David Edmundo Romo Bucheli","raw_affiliation_strings":["Univ. Industrial de Santander (Colombia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Industrial de Santander (Colombia)","institution_ids":["https://openalex.org/I115684694"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luis Carlos Guayac\u00e1n Chaparro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Carlos Guayac\u00e1n Chaparro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014726135","display_name":"Fabio Mart\u00ednez","orcid":"https://orcid.org/0000-0001-7353-049X"},"institutions":[{"id":"https://openalex.org/I115684694","display_name":"Industrial University of Santander","ror":"https://ror.org/00xc1d948","country_code":"CO","type":"education","lineage":["https://openalex.org/I115684694"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Fabio Mart\u00ednez","raw_affiliation_strings":["Univ. Industrial de Santander (Colombia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Industrial de Santander (Colombia)","institution_ids":["https://openalex.org/I115684694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03049803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.993399977684021,"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":0.7123009562492371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6963373422622681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5942898392677307},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4672558009624481},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3502112925052643},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3324037492275238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123009562492371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6963373422622681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5942898392677307},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4672558009624481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3502112925052643},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3324037492275238}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2654516","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Detection,":[0],"characterization":[1],"and":[2,16,93,138],"counting":[3],"of":[4,43,70,112,135,151,157],"mitosis":[5,19],"is":[6,78],"a":[7,23,56,110,155],"main":[8],"biomarker":[9],"in":[10,100],"cancer,":[11],"allowing":[12],"diagnosis,":[13],"histological":[14],"grading":[15],"prognosis.":[17],"Nonetheless,":[18],"identification":[20],"remains":[21],"as":[22],"challenging":[24,88],"task":[25],"(inter-observer":[26],"variability":[27,42],"up":[28],"to":[29,38,61,80,103],"20%).":[30],"Even,":[31],"the":[32,74,105,128,143],"computational":[33],"support":[34],"strategies":[35],"remain":[36],"limited":[37,68],"include":[39],"wide":[40],"visual":[41],"mitotic":[44,63],"patterns,":[45],"with":[46,127],"an":[47,66,119,147],"inherent":[48],"bias":[49],"because":[50],"labeled":[51,71],"observations.":[52],"This":[53],"work":[54],"introduces":[55],"semi-supervised":[57],"scheme":[58],"that":[59],"learns":[60],"identify":[62],"cells":[64],"from":[65,118],"initial":[67,75],"amount":[69],"data.":[72],"Then,":[73],"trained":[76],"backbone":[77],"used":[79],"propagate":[81],"pseudo-labels":[82],"into":[83],"training":[84],"samples.":[85],"The":[86,122],"most":[87],"samples,":[89,97],"i.e.,":[90],"false":[91,94],"positive":[92],"negative":[95],"pseudo-labeled":[96],"are":[98,116],"included":[99],"further":[101],"batches":[102],"re-train":[104],"model.":[106],"At":[107],"each":[108],"iteration,":[109],"set":[111],"complementary":[113],"non-mitotic":[114],"patches":[115],"generated":[117],"auxiliary":[120],"net.":[121],"proposed":[123,144],"approach":[124,145],"was":[125],"validated":[126],"public":[129],"ICPR":[130],"dataset,":[131],"achieving":[132],"competitive":[133],"results":[134],"0.74":[136],"accuracy":[137],"0.78":[139],"sensitivity.":[140],"In":[141],"addition,":[142],"achieves":[146],"average":[148],"inference":[149],"time":[150],"5.21":[152],"seconds":[153],"(on":[154],"batch":[156],"240":[158],"candidate":[159],"patches).":[160]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}