{"id":"https://openalex.org/W2794007632","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302276","title":"The application of BI-RADS feature in the ultrasound breast tumor CAD system","display_name":"The application of BI-RADS feature in the ultrasound breast tumor CAD system","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2794007632","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302276","mag":"2794007632"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/30319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074715434","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-6823-2700"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["School of Electronic and information Engineering, South China University of Technologv, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and information Engineering, South China University of Technologv, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066148256","display_name":"Qinghua Huang","orcid":"https://orcid.org/0000-0003-1080-6940"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Huang","raw_affiliation_strings":["School of Electronic and information Engineering, South China University of Technologv, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and information Engineering, South China University of Technologv, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740143","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0002-0019-4197"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074715434"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21804892,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9970999956130981,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.7672780156135559},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7364776134490967},{"id":"https://openalex.org/keywords/bi-rads","display_name":"BI-RADS","score":0.7013444304466248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6321974396705627},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6110646724700928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5998843908309937},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.549881637096405},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.5315169095993042},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5068541169166565},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.4766079783439636},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46184107661247253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4312681555747986},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.41038885712623596},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.29755985736846924},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24901846051216125},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.20836621522903442},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.2034796178340912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13437607884407043},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06745406985282898}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.7672780156135559},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7364776134490967},{"id":"https://openalex.org/C2779098232","wikidata":"https://www.wikidata.org/wiki/Q903975","display_name":"BI-RADS","level":5,"score":0.7013444304466248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321974396705627},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6110646724700928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5998843908309937},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.549881637096405},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.5315169095993042},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5068541169166565},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.4766079783439636},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46184107661247253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4312681555747986},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.41038885712623596},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.29755985736846924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24901846051216125},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20836621522903442},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.2034796178340912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13437607884407043},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06745406985282898},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/30319","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/30319","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/30319","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/30319","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1559570474","https://openalex.org/W1963691800","https://openalex.org/W1989033067","https://openalex.org/W2009629689","https://openalex.org/W2012743205","https://openalex.org/W2017439667","https://openalex.org/W2034905316","https://openalex.org/W2072056856","https://openalex.org/W2104999075","https://openalex.org/W2117888393","https://openalex.org/W2123839223","https://openalex.org/W2127714324","https://openalex.org/W2147452989","https://openalex.org/W2220945839","https://openalex.org/W2290687990","https://openalex.org/W2565593822","https://openalex.org/W2571079985","https://openalex.org/W2609727186","https://openalex.org/W6633408921"],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W2026369788","https://openalex.org/W4399609798","https://openalex.org/W4229543669","https://openalex.org/W4323921180","https://openalex.org/W2072056856","https://openalex.org/W2759738913","https://openalex.org/W2276934518","https://openalex.org/W3092582177","https://openalex.org/W2349372299"],"abstract_inverted_index":{"The":[0,33,116,145],"breast":[1,16],"cancer":[2],"is":[3,38,53,67,109,126,151,154,167],"one":[4],"of":[5,98,122],"the":[6,24,42,49,57,64,73,76,79,95,103,105,113,120,123,129,134],"most":[7],"common":[8],"diseases":[9],"in":[10,85],"women.":[11],"This":[12],"paper":[13],"proposed":[14,65,80,114,124],"a":[15,46,138],"tumor":[17],"computer":[18],"aided":[19],"diagnosis":[20],"(CAD)":[21],"system":[22,66,81,125],"utilized":[23],"Breast":[25],"Imaging":[26],"Reporting":[27],"and":[28,162],"Data":[29],"System":[30],"(BI-RADS)":[31],"features.":[32],"BI-RADS":[34,43,135],"feature":[35,136],"scoring":[36],"scheme":[37],"designed":[39],"to":[40,45,55,69,111,140],"transform":[41],"report":[44],"vector.":[47,58],"And":[48],"decision":[50],"tree":[51],"algorithm":[52],"adopted":[54],"classify":[56],"Compared":[59],"with":[60],"previous":[61],"CAD":[62,130],"system,":[63],"easier":[68],"be":[70,83],"understood":[71],"by":[72],"clinician.":[74],"Without":[75],"image":[77],"preprocessing,":[78],"can":[82],"applied":[84],"different":[86],"ultrasound":[87],"machines.":[88],"There":[89],"are":[90],"440":[91],"samples":[92],"collected":[93],"from":[94,143],"Cancer":[96],"Center":[97],"Sun":[99],"Yat-sen":[100],"University.":[101],"In":[102],"experiment,":[104],"five-fold":[106],"cross":[107],"validation":[108],"employed":[110],"evaluate":[112],"system.":[115],"result":[117],"shows":[118],"that":[119],"performance":[121],"better":[127],"than":[128],"method":[131],"which":[132],"takes":[133],"as":[137],"guide":[139],"extract":[141],"features":[142],"images.":[144],"average":[146],"accuracy":[147],"achieves":[148],"89.38%,":[149],"specificity":[150],"90.74%,":[152],"sensitivity":[153],"86.18%,":[155],"positive":[156],"predictive":[157,164],"value":[158,165],"(PPV)":[159],"reaches":[160],"93.57%":[161],"negative":[163],"(NVP)":[166],"79.82%.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}