{"id":"https://openalex.org/W1995942078","doi":"https://doi.org/10.1117/12.2043780","title":"Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS)","display_name":"Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS)","publication_year":2014,"publication_date":"2014-03-21","ids":{"openalex":"https://openalex.org/W1995942078","doi":"https://doi.org/10.1117/12.2043780","mag":"1995942078"},"language":"en","primary_location":{"id":"doi:10.1117/12.2043780","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043780","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030555461","display_name":"Mandana Javanshir Moghaddam","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":"Mandana Javanshir Moghaddam","raw_affiliation_strings":["Radboud Univ. Nijmegen Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101628586","display_name":"Tao Tan","orcid":"https://orcid.org/0000-0002-5573-1105"},"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":"Tao Tan","raw_affiliation_strings":["Radboud Univ. Nijmegen Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085370896","display_name":"Nico Karssemeijer","orcid":"https://orcid.org/0000-0002-4153-8021"},"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":"Nico Karssemeijer","raw_affiliation_strings":["Radboud Univ. Nijmegen Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023541811","display_name":"Bram Platel","orcid":"https://orcid.org/0000-0002-1936-6825"},"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":"Bram Platel","raw_affiliation_strings":["Radboud Univ. Nijmegen Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Nijmegen Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.2068,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44426366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9034","issue":null,"first_page":"903405","last_page":"903405"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11134","display_name":"Breast Lesions and Carcinomas","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.7575597167015076},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7023508548736572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6891989707946777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6020126938819885},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5844453573226929},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.5120797753334045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5107560157775879},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.42161229252815247},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.41559797525405884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3237493634223938},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3194783329963684},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3008432984352112},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.20454585552215576}],"concepts":[{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.7575597167015076},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7023508548736572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6891989707946777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6020126938819885},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5844453573226929},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.5120797753334045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5107560157775879},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42161229252815247},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.41559797525405884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3237493634223938},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3194783329963684},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3008432984352112},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.20454585552215576},{"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/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2043780","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043780","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1995985336","https://openalex.org/W2015278915","https://openalex.org/W2041277244","https://openalex.org/W2052708119","https://openalex.org/W2112971960","https://openalex.org/W2157687887","https://openalex.org/W2160408484","https://openalex.org/W4233966416","https://openalex.org/W4238047312"],"related_works":["https://openalex.org/W2105667964","https://openalex.org/W3020588946","https://openalex.org/W2407173965","https://openalex.org/W2488824286","https://openalex.org/W2076908053","https://openalex.org/W1967579262","https://openalex.org/W2478167448","https://openalex.org/W4388187645","https://openalex.org/W3122972499","https://openalex.org/W2117952144"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2,93],"demonstrated":[3],"that":[4],"applying":[5],"Automated":[6,56],"Breast":[7,57],"Ultrasound":[8,58],"in":[9,13,32,49,74,96,147,162,169],"addition":[10],"to":[11,20,67,78,111],"mammography":[12],"women":[14],"with":[15,126],"dense":[16],"breasts":[17],"can":[18],"lead":[19],"additional":[21],"detection":[22],"of":[23,71,123,144,164,171],"small,":[24],"early":[25],"stage":[26],"breast":[27,52,76],"cancers":[28],"which":[29],"are":[30],"occult":[31],"corresponding":[33],"mammograms.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"proposed":[39],"a":[40,64,75,97,107,121,141],"fully":[41],"automatic":[42,155],"method":[43,117,156],"for":[44],"detecting":[45],"the":[46,69,84,113,160,172],"nipple":[47,61,85,114,161],"location":[48,62],"3D":[50,129],"ultrasound":[51,130],"images":[53,88],"acquired":[54],"from":[55,132],"Systems.":[59],"The":[60,116,154],"is":[63,140],"valuable":[65],"landmark":[66],"report":[68],"position":[70],"possible":[72],"abnormalities":[73],"or":[77],"guide":[79],"image":[80],"registration.":[81],"To":[82],"detect":[83],"location,":[86],"all":[87],"were":[89,104],"normalized.":[90],"Subsequently,":[91],"features":[92],"been":[94],"extracted":[95],"multi":[98],"scale":[99],"approach":[100],"and":[101,134,168],"classification":[102],"experiments":[103],"performed":[105],"using":[106],"gentle":[108],"boost":[109],"classifier":[110],"identify":[112],"location.":[115],"was":[118],"applied":[119],"on":[120],"dataset":[122],"100":[124],"patients":[125],"294":[127],"different":[128],"views":[131,167],"Siemens":[133],"U-systems":[135],"acquisition":[136],"systems.":[137],"Our":[138],"database":[139],"representative":[142],"sample":[143],"cases":[145],"obtained":[146],"clinical":[148],"practice":[149],"by":[150],"four":[151],"medical":[152],"centers.":[153],"could":[157],"accurately":[158],"locate":[159],"90%":[163],"AP":[165],"(Anterior-Posterior)":[166],"79%":[170],"other":[173],"views.":[174]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}