{"id":"https://openalex.org/W3007204812","doi":"https://doi.org/10.1109/isspit47144.2019.9001830","title":"Automated classification of ganglions and spiculated masses: A case study, Mexico's National Institute of Cancerology","display_name":"Automated classification of ganglions and spiculated masses: A case study, Mexico's National Institute of Cancerology","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007204812","doi":"https://doi.org/10.1109/isspit47144.2019.9001830","mag":"3007204812"},"language":"en","primary_location":{"id":"doi:10.1109/isspit47144.2019.9001830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit47144.2019.9001830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5032972597","display_name":"Sergio Lenis","orcid":null},"institutions":[{"id":"https://openalex.org/I136040515","display_name":"Universidad de Deusto","ror":"https://ror.org/00ne6sr39","country_code":"ES","type":"education","lineage":["https://openalex.org/I136040515"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sergio Lenis","raw_affiliation_strings":["Evida Research Lab, University of Deusto, Bilbao, Spain"],"affiliations":[{"raw_affiliation_string":"Evida Research Lab, University of Deusto, Bilbao, Spain","institution_ids":["https://openalex.org/I136040515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008000728","display_name":"Cristi\u00e1n Castillo-Olea","orcid":"https://orcid.org/0000-0002-8717-7524"},"institutions":[{"id":"https://openalex.org/I136040515","display_name":"Universidad de Deusto","ror":"https://ror.org/00ne6sr39","country_code":"ES","type":"education","lineage":["https://openalex.org/I136040515"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Cristian Castillo-Olea","raw_affiliation_strings":["Evida Research Lab, University of Deusto, Bilbao, Spain"],"affiliations":[{"raw_affiliation_string":"Evida Research Lab, University of Deusto, Bilbao, Spain","institution_ids":["https://openalex.org/I136040515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028149208","display_name":"Begonya Garc\u00eda-Zapirain","orcid":"https://orcid.org/0000-0002-9356-1186"},"institutions":[{"id":"https://openalex.org/I136040515","display_name":"Universidad de Deusto","ror":"https://ror.org/00ne6sr39","country_code":"ES","type":"education","lineage":["https://openalex.org/I136040515"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Begonya Garcia-Zapirain","raw_affiliation_strings":["Evida Research Lab, University of Deusto, Bilbao, Spain"],"affiliations":[{"raw_affiliation_string":"Evida Research Lab, University of Deusto, Bilbao, Spain","institution_ids":["https://openalex.org/I136040515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067405358","display_name":"Eric Ortiz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153971","display_name":"Instituto Nacional de Cancerolog\u00eda","ror":"https://ror.org/04z3afh10","country_code":"MX","type":"government","lineage":["https://openalex.org/I4210095685","https://openalex.org/I4210153971"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Eric Ortiz","raw_affiliation_strings":["National Institute of Cancerology, Mexico"],"affiliations":[{"raw_affiliation_string":"National Institute of Cancerology, Mexico","institution_ids":["https://openalex.org/I4210153971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032972597"],"corresponding_institution_ids":["https://openalex.org/I136040515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19741813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9969000220298767,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6059784889221191},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5372166037559509},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4766710102558136},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4749446213245392},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4639083743095398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4595355987548828},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45805346965789795},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4266504943370819},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.42103055119514465},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.37298527359962463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3453010320663452},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.31319037079811096},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08852386474609375}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6059784889221191},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5372166037559509},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4766710102558136},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4749446213245392},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4639083743095398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4595355987548828},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45805346965789795},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4266504943370819},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.42103055119514465},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.37298527359962463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3453010320663452},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.31319037079811096},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08852386474609375},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit47144.2019.9001830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit47144.2019.9001830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1998399571","https://openalex.org/W2110361622","https://openalex.org/W2153516643","https://openalex.org/W2190746225","https://openalex.org/W2527654160","https://openalex.org/W2630687088","https://openalex.org/W2751608646","https://openalex.org/W2770397194","https://openalex.org/W2779396040","https://openalex.org/W2789325239","https://openalex.org/W2810198005","https://openalex.org/W2840687963","https://openalex.org/W2889646458","https://openalex.org/W2921877691","https://openalex.org/W2963150697"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W2786391746","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"The":[0,50],"proposed":[1],"technique":[2],"is":[3,53],"based":[4],"on":[5],"Mask":[6],"R-CNN":[7],"and":[8,19,27,43,59,66,71],"was":[9],"evaluated":[10],"using":[11],"INCAN":[12],"data":[13,51],"set.":[14],"We":[15],"obtained":[16],"a":[17,72],"ganglion":[18],"spiculated":[20],"mass":[21],"average":[22],"precision":[23],"rate":[24],"of":[25,94],"43%":[26],"pixel-wise":[28],"segmentation":[29],"performances":[30],"with":[31],"69%":[32],"recall,":[33],"99%":[34,41],"specificity,":[35],"64":[36],"<sup":[37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[38,47],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[39],"precision,":[40],"accuracy,":[42],"75%":[44],"F":[45],"<sub":[46],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[48],"score.":[49],"set":[52],"validated":[54],"by":[55],"5":[56],"experts:":[57],"oncologist":[58],"specialist":[60],"in":[61,68,90],"mammary":[62,69],"pathology,":[63,70],"three":[64],"radiologists":[65],"specialists":[67],"surgeon":[73],"mastologist.":[74],"This":[75],"approach":[76],"allows":[77],"us":[78],"to":[79,84,87],"employ":[80],"deep":[81],"learning":[82],"techniques":[83],"provide":[85],"assistance":[86],"health-care":[88],"professionals":[89],"the":[91],"medical":[92],"diagnosis":[93],"breast":[95],"cancer.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
