{"id":"https://openalex.org/W2533779886","doi":"https://doi.org/10.1109/aipr.2010.5759708","title":"Comparing one-class and two-class SVM classifiers for normal mammogram detection","display_name":"Comparing one-class and two-class SVM classifiers for normal mammogram detection","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2533779886","doi":"https://doi.org/10.1109/aipr.2010.5759708","mag":"2533779886"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2010.5759708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5070499557","display_name":"Mona Y. Elshinawy","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Y. Elshinawy","raw_affiliation_strings":["Electrical and Computer Engineering Department, Howard University, Washington, DC, USA","Electrical and Computer Engineering Department, Howard University College of Medicine, Washington D.C., DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Howard University College of Medicine, Washington D.C., DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087778749","display_name":"Abdel\u2010Hameed A. Badawy","orcid":"https://orcid.org/0000-0001-8027-1449"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdel-Hameed A. Badawy","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110235182","display_name":"Wael W. Abdelmageed","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wael W. Abdelmageed","raw_affiliation_strings":["University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA","Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108617784","display_name":"Mohamed Chouikha","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed F. Chouikha","raw_affiliation_strings":["Electrical and Computer Engineering Department, Howard University, Washington, DC, USA","Electrical and Computer Engineering Department, Howard University College of Medicine, Washington D.C., DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Howard University College of Medicine, Washington D.C., DC, USA","institution_ids":["https://openalex.org/I137853757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4661,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77644834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9857000112533569,"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/support-vector-machine","display_name":"Support vector machine","score":0.8734809756278992},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.8626348972320557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282119989395142},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6773831248283386},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6673208475112915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6448314189910889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5534552931785583},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.5444856286048889},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4727248549461365},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.47195330262184143},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42437589168548584},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.24124684929847717},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20135504007339478},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07850903272628784},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.07063204050064087},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07031649351119995}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8734809756278992},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.8626348972320557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282119989395142},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6773831248283386},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6673208475112915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6448314189910889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5534552931785583},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.5444856286048889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4727248549461365},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.47195330262184143},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42437589168548584},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.24124684929847717},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20135504007339478},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07850903272628784},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.07063204050064087},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07031649351119995},{"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/aipr.2010.5759708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W157898781","https://openalex.org/W165213567","https://openalex.org/W177004468","https://openalex.org/W1485562657","https://openalex.org/W1541273939","https://openalex.org/W1548399646","https://openalex.org/W1556583247","https://openalex.org/W1562823746","https://openalex.org/W1587932103","https://openalex.org/W1981409157","https://openalex.org/W1994389804","https://openalex.org/W1995246641","https://openalex.org/W2003299693","https://openalex.org/W2006052536","https://openalex.org/W2009370455","https://openalex.org/W2027421362","https://openalex.org/W2028526180","https://openalex.org/W2031274739","https://openalex.org/W2037516106","https://openalex.org/W2045128020","https://openalex.org/W2083344714","https://openalex.org/W2097540174","https://openalex.org/W2101845567","https://openalex.org/W2101995865","https://openalex.org/W2103606711","https://openalex.org/W2118877769","https://openalex.org/W2120124109","https://openalex.org/W2122436376","https://openalex.org/W2123026371","https://openalex.org/W2125340118","https://openalex.org/W2126784706","https://openalex.org/W2131904035","https://openalex.org/W2133898338","https://openalex.org/W2137839901","https://openalex.org/W2150242770","https://openalex.org/W2154416937","https://openalex.org/W2155487617","https://openalex.org/W2156558070","https://openalex.org/W2158479099","https://openalex.org/W2159188841","https://openalex.org/W2161942732","https://openalex.org/W2546097752","https://openalex.org/W4285719527","https://openalex.org/W4298372621","https://openalex.org/W6601695954","https://openalex.org/W6607184829","https://openalex.org/W6629182549","https://openalex.org/W6632383675","https://openalex.org/W6652800273","https://openalex.org/W6679539681"],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W4229543669","https://openalex.org/W1783185948","https://openalex.org/W615772105","https://openalex.org/W2999505641","https://openalex.org/W2401866201","https://openalex.org/W2945629533","https://openalex.org/W1554029525","https://openalex.org/W1978794434","https://openalex.org/W2553942461"],"abstract_inverted_index":{"X-ray":[0],"mammograms":[1,88],"are":[2,78,123,130],"one":[3],"of":[4,26,49,90,134,144,166,173],"the":[5,24,47,54,63,106,116,132,176],"most":[6],"common":[7],"techniques":[8],"used":[9,124],"by":[10,43],"radiologists":[11,39,107],"for":[12,155],"breast":[13],"cancer":[14],"detection":[15,19],"and":[16,30,101,108,137],"diagnosis.":[17],"Early":[18],"is":[20,146],"important,":[21],"which":[22],"raised":[23],"importance":[25],"developing":[27],"Computer-Aided":[28],"Detection":[29],"Diag-nosis(CAD)":[31],"systems.":[32],"Although":[33],"most(CAD)systems":[34],"were":[35],"designed":[36],"to":[37,59,73,85,113,125],"help":[38],"in":[40,62],"their":[41],"diagnosis":[42],"providing":[44],"useful":[45],"insight,":[46],"accuracy":[48],"CAD":[50,69,111],"systems":[51,70,112],"remains":[52],"below":[53],"level":[55],"that":[56,83,150],"would":[57],"lead":[58],"an":[60],"improvement":[61],"overall":[64],"radiologists'":[65],"performance.":[66],"Unlike":[67],"other":[68,109],"who":[71],"aim":[72],"detect":[74,86,126],"abnormal":[75,91],"mammograms,":[76,104],"we":[77],"designing":[79],"a":[80,98,171],"pre-CAD":[81,94,152],"system":[82,95,153],"aims":[84],"normal":[87,103,127,141],"instead":[89,143],"ones.":[92],"The":[93],"works":[96],"as":[97],"\"first":[99],"look\"":[100],"screens-out":[102],"leaving":[105],"conventional":[110],"focus":[114],"on":[115],"suspicious":[117],"cases.":[118],"Support":[119],"Vector":[120],"Machine":[121],"classifiers":[122,160],"mammograms.":[128],"We":[129],"comparing":[131],"effect":[133],"using":[135],"1-class":[136,156,168],"2-class":[138,158],"SVMs":[139],"when":[140],"mammogram,":[142],"abnormal,":[145],"detected.":[147],"Results":[148],"showed":[149],"our":[151,164],"performance":[154],"outperformed":[157],"SVM":[159,169,178],"almost":[161],"always.":[162],"Using":[163],"set":[165],"features,":[167],"achieved":[170,179],"specificity":[172],"(99.2%),":[174],"while":[175],"two-class":[177],"(86.71%)":[180],"respectively.":[181]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
