{"id":"https://openalex.org/W2962721873","doi":"https://doi.org/10.1117/12.2512940","title":"Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation","display_name":"Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation","publication_year":2019,"publication_date":"2019-03-13","ids":{"openalex":"https://openalex.org/W2962721873","doi":"https://doi.org/10.1117/12.2512940","mag":"2962721873"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512940","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512940","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2066/204507","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031023373","display_name":"Jonas Teuwen","orcid":"https://orcid.org/0000-0002-1825-1428"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jonas Teuwen","raw_affiliation_strings":["Delft Univ. of Technology (Netherlands)","Radboud Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Delft Univ. of Technology (Netherlands)","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069109153","display_name":"Nikita Moriakov","orcid":"https://orcid.org/0000-0002-7127-1006"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nikita Moriakov","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073381909","display_name":"Ritse M. Mann","orcid":"https://orcid.org/0000-0001-8111-1930"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ritse Mann","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089998437","display_name":"Elena Marchiori","orcid":"https://orcid.org/0000-0002-5006-4112"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Elena Marchiori","raw_affiliation_strings":["Radboud Univ. Nijmegen (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059352047","display_name":"Joris van Vugt","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Joris van Vugt","raw_affiliation_strings":["Radboud Univ. Nijmegen (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085913405","display_name":"Albert Gubern\u2010M\u00e9rida","orcid":"https://orcid.org/0000-0003-1648-986X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albert Gubern-M\u00e9rida","raw_affiliation_strings":["ScreenPoint Medical (Netherlands)"],"affiliations":[{"raw_affiliation_string":"ScreenPoint Medical (Netherlands)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031023373"],"corresponding_institution_ids":["https://openalex.org/I145872427","https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07560284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9962999820709229,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9962999820709229,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8054418563842773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7884963750839233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555684208869934},{"id":"https://openalex.org/keywords/vendor","display_name":"Vendor","score":0.6196931004524231},{"id":"https://openalex.org/keywords/siemens","display_name":"Siemens","score":0.5189989805221558},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.49419906735420227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48278558254241943},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4271969497203827},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4211656153202057},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.41547566652297974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36859145760536194},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.146591454744339}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8054418563842773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7884963750839233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555684208869934},{"id":"https://openalex.org/C2777338717","wikidata":"https://www.wikidata.org/wiki/Q1762621","display_name":"Vendor","level":2,"score":0.6196931004524231},{"id":"https://openalex.org/C100053769","wikidata":"https://www.wikidata.org/wiki/Q169893","display_name":"Siemens","level":2,"score":0.5189989805221558},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.49419906735420227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48278558254241943},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4271969497203827},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4211656153202057},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.41547566652297974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36859145760536194},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.146591454744339},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2512940","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512940","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/204507","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/204507","pdf_url":"http://hdl.handle.net/2066/204507","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mori, K. (ed.), Medical Imaging 2019: Computer-Aided Diagnosis:  16-21 February 2019 San Diego, California, United States, 1 - 4. [S.l.] : SPIE","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/204507","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/204507","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"}],"best_oa_location":{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/204507","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/204507","pdf_url":"http://hdl.handle.net/2066/204507","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mori, K. (ed.), Medical Imaging 2019: Computer-Aided Diagnosis:  16-21 February 2019 San Diego, California, United States, 1 - 4. [S.l.] : SPIE","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962721873.pdf","grobid_xml":"https://content.openalex.org/works/W2962721873.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2159318977","https://openalex.org/W2593768305","https://openalex.org/W2771794944","https://openalex.org/W6639480849","https://openalex.org/W6746789195"],"related_works":["https://openalex.org/W2889557831","https://openalex.org/W2389261154","https://openalex.org/W613085492","https://openalex.org/W4243246472","https://openalex.org/W3173728350","https://openalex.org/W4240572821","https://openalex.org/W2351649981","https://openalex.org/W2349550680","https://openalex.org/W2390686810","https://openalex.org/W2493767419"],"abstract_inverted_index":{"Computer-aided":[0],"detection":[1],"aims":[2],"to":[3,12,71,90,137,216],"improve":[4],"breast":[5],"cancer":[6],"screening":[7],"programs":[8],"by":[9,22,107,182],"helping":[10],"radiologists":[11],"evaluate":[13],"digital":[14],"mammography":[15],"(DM)":[16],"exams.":[17],"DM":[18,99],"exams":[19,100],"are":[20,135,158],"generated":[21,106],"devices":[23,39],"from":[24,64,73,154],"different":[25],"vendors,":[26],"with":[27,124,221],"diverse":[28],"characteristics":[29],"between":[30],"and":[31,40,103,109,131,178],"even":[32],"within":[33],"vendors.":[34,111],"Physical":[35],"properties":[36],"of":[37,42,81,98,164,189,195,213,218],"these":[38],"postprocessing":[41],"the":[43,48,54,79,141,155,175,183,192],"images":[44,139,153],"can":[45],"greatly":[46],"influence":[47],"resulting":[49],"mammogram.":[50],"This":[51,76],"results":[52],"in":[53,140,198,235],"fact":[55],"that":[56,226],"a":[57,96,211,219],"deep":[58],"learning":[59,84,89,116,170,197],"model":[60],"trained":[61],"on":[62,87],"data":[63,72,123,134],"one":[65],"vendor":[66],"cannot":[67],"readily":[68],"be":[69],"applied":[70],"another":[74],"vendor.":[75],"paper":[77],"investigates":[78],"use":[80],"tailored":[82,162],"transfer":[83,115,169,196,200],"methods":[85,167],"based":[86],"adversarial":[88],"tackle":[91],"this":[92],"problem.":[93],"We":[94,112,160],"consider":[95],"database":[97],"(mostly":[101],"bilateral":[102],"two":[104,114],"views)":[105],"Hologic":[108,122],"Siemens":[110,132,156],"analyze":[113],"settings:":[117],"1)":[118],"unsupervised":[119],"transfer,":[120,147],"where":[121,148],"soft":[125],"lesion":[126],"annotation":[127],"at":[128,185,203],"pixel":[129],"level":[130,150,229],"unlabelled":[133],"used":[136],"annotate":[138],"latter":[142],"data;":[143],"2)":[144],"weak":[145],"supervised":[146],"exam":[149,186,228],"labels":[151],"for":[152,168],"mammograph":[157],"available.":[159],"propose":[161],"variants":[163],"recent":[165],"state-of-the-art":[166],"which":[171],"take":[172],"into":[173],"account":[174],"class":[176],"imbalance":[177],"incorporate":[179],"knowledge":[180],"provided":[181],"annotations":[184,230],"level.":[187],"Results":[188,224],"experiments":[190],"indicate":[191,225],"beneficial":[193],"effect":[194],"both":[199],"settings.":[201],"Notably,":[202],"0.02":[204],"false":[205],"positives":[206],"per":[207],"image,":[208],"we":[209],"achieve":[210],"sensitivity":[212],"0.37,":[214],"compared":[215],"0.30":[217],"baseline":[220],"no":[222],"transfer.":[223],"using":[227],"gives":[231],"an":[232],"additional":[233],"increase":[234],"sensitivity.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
