{"id":"https://openalex.org/W2960225858","doi":"https://doi.org/10.1109/isbi.2019.8759331","title":"Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes","display_name":"Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2960225858","doi":"https://doi.org/10.1109/isbi.2019.8759331","mag":"2960225858"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","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/A5014798951","display_name":"Wilson Silva","orcid":"https://orcid.org/0000-0002-4080-9328"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Wilson Silva","raw_affiliation_strings":["INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023805413","display_name":"Eduardo Castro","orcid":"https://orcid.org/0000-0003-4144-695X"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Eduardo Castro","raw_affiliation_strings":["INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038678908","display_name":"Maria Jo\u00e3o Cardoso","orcid":"https://orcid.org/0000-0002-8137-3700"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria J. Cardoso","raw_affiliation_strings":["INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019454470","display_name":"Florian Fitzal","orcid":"https://orcid.org/0000-0003-2617-3965"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Florian Fitzal","raw_affiliation_strings":["Department of Surgery, Medical University, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surgery, Medical University, Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013827007","display_name":"Jaime S. Cardoso","orcid":"https://orcid.org/0000-0002-3760-2473"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jaime S. Cardoso","raw_affiliation_strings":["INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13953","display_name":"Digital Imaging in Medicine","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13953","display_name":"Digital Imaging in Medicine","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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":0.9962000250816345,"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/T11448","display_name":"Face recognition and analysis","score":0.9677000045776367,"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/breast-cancer","display_name":"Breast cancer","score":0.6291388869285583},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.49754050374031067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774813652038574},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.456699401140213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34688800573349},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14619788527488708}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6291388869285583},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.49754050374031067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774813652038574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.456699401140213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34688800573349},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14619788527488708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2019.8759331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W86818467","https://openalex.org/W1595258308","https://openalex.org/W1686810756","https://openalex.org/W1844657892","https://openalex.org/W1901129140","https://openalex.org/W2090933147","https://openalex.org/W2105823587","https://openalex.org/W2117204356","https://openalex.org/W2126445748","https://openalex.org/W2131807858","https://openalex.org/W2136716100","https://openalex.org/W2155883071","https://openalex.org/W2212882186","https://openalex.org/W2559085405","https://openalex.org/W2963448913","https://openalex.org/W6603523035","https://openalex.org/W6637373629","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2091020218","https://openalex.org/W3107474891","https://openalex.org/W2418638721","https://openalex.org/W2365364931","https://openalex.org/W3196332669","https://openalex.org/W3130591221","https://openalex.org/W2297592050","https://openalex.org/W2014447844"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,69],"high":[2,84],"survival":[3],"rate":[4],"led":[5],"to":[6,51,67,80],"an":[7,37,121],"increased":[8],"interest":[9],"in":[10,53,59,123,135],"the":[11,19,45,124,144],"quality":[12],"of":[13,41,61,95,126,137],"life":[14],"after":[15,64],"treatment,":[16],"particularly":[17],"regarding":[18],"aesthetic":[20,24],"outcome.":[21],"Currently":[22],"used":[23],"assessment":[25],"methods":[26,87,119],"are":[27,88],"subjective,":[28],"which":[29],"make":[30],"reproducibility":[31],"and":[32,76,100,103,114,129],"impartiality":[33],"impossible.":[34],"To":[35],"create":[36],"objective":[38],"method":[39],"capable":[40],"being":[42,65],"selected":[43],"as":[44],"gold":[46],"standard,":[47],"it":[48],"is":[49],"fundamental":[50],"detect,":[52],"a":[54,74,77,98,104],"completely":[55],"automatic":[56],"manner,":[57],"keypoints":[58,82],"photographs":[60,109],"women's":[62],"torso":[63],"subjected":[66],"breast":[68,130],"surgeries.":[70],"This":[71],"paper":[72],"proposes":[73],"deep":[75],"hybrid":[78],"model":[79],"detect":[81],"with":[83,97,143],"accuracy.":[85],"Our":[86],"tested":[89],"on":[90],"two":[91],"datasets,":[92],"one":[93,106],"composed":[94],"images":[96],"clean":[99],"consistent":[101],"background":[102,115],"second":[105],"that":[107],"contains":[108],"taken":[110],"under":[111],"poor":[112],"lighting":[113],"conditions.":[116],"The":[117],"proposed":[118],"represent":[120],"improvement":[122],"detection":[125],"endpoints,":[127],"nipples":[128],"contour":[131],"for":[132],"both":[133],"datasets":[134],"terms":[136],"average":[138],"error":[139],"distance":[140],"when":[141],"compared":[142],"current":[145],"state-of-the-art.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}