{"id":"https://openalex.org/W2588890839","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853007","title":"Classification of breast tumors in ultrasound using biclustering mining and neural network","display_name":"Classification of breast tumors in ultrasound using biclustering mining and neural network","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588890839","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853007","mag":"2588890839"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7853007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th 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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047000117","display_name":"Yongdong Chen","orcid":"https://orcid.org/0000-0001-5823-2144"},"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":"Yongdong Chen","raw_affiliation_strings":["School of Electronic and Information Engineering South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004473999","display_name":"Lijuan Ling","orcid":null},"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":"Lijuan Ling","raw_affiliation_strings":["School of Electronic and Information Engineering South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","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 Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047000117"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91160409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"1787","last_page":"1791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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":0.9987000226974487,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9573000073432922,"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/computer-science","display_name":"Computer science","score":0.7087494730949402},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.639056384563446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6333540081977844},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6021216511726379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835065245628357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5749427676200867},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.5693822503089905},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5187416672706604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47786515951156616},{"id":"https://openalex.org/keywords/breast-tumor","display_name":"Breast tumor","score":0.44980162382125854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42359286546707153},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.21726727485656738},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.19644203782081604},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.18512648344039917},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10362884402275085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087494730949402},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.639056384563446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6333540081977844},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6021216511726379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835065245628357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5749427676200867},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.5693822503089905},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5187416672706604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47786515951156616},{"id":"https://openalex.org/C2986637895","wikidata":"https://www.wikidata.org/wiki/Q953865","display_name":"Breast tumor","level":4,"score":0.44980162382125854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42359286546707153},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.21726727485656738},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.19644203782081604},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.18512648344039917},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10362884402275085},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7853007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1963691800","https://openalex.org/W1966966247","https://openalex.org/W1970852662","https://openalex.org/W1985572608","https://openalex.org/W2011585383","https://openalex.org/W2012743205","https://openalex.org/W2019184987","https://openalex.org/W2029751258","https://openalex.org/W2034905316","https://openalex.org/W2039403753","https://openalex.org/W2044779926","https://openalex.org/W2046887523","https://openalex.org/W2047913312","https://openalex.org/W2059900648","https://openalex.org/W2060766460","https://openalex.org/W2063506423","https://openalex.org/W2067032929","https://openalex.org/W2084985476","https://openalex.org/W2092111848","https://openalex.org/W2097169398","https://openalex.org/W2107626950","https://openalex.org/W2117888393","https://openalex.org/W2134837462","https://openalex.org/W2139437247","https://openalex.org/W2144544802","https://openalex.org/W2151419026","https://openalex.org/W2321646169","https://openalex.org/W2328981093","https://openalex.org/W4235739337"],"related_works":["https://openalex.org/W3041447375","https://openalex.org/W3162601078","https://openalex.org/W2366255134","https://openalex.org/W2385744238","https://openalex.org/W2019984996","https://openalex.org/W2348529442","https://openalex.org/W2909749864","https://openalex.org/W3211700994","https://openalex.org/W2389105480","https://openalex.org/W2382945490"],"abstract_inverted_index":{"Ultrasound":[0],"imaging":[1],"is":[2,19,34,43],"now":[3],"becoming":[4],"a":[5,15,102],"frequently":[6],"used":[7],"tool":[8],"in":[9,134],"clinical":[10],"diagnosis.":[11],"In":[12,28],"this":[13,29],"article,":[14],"novel":[16],"diagnosis":[17],"scheme":[18,33],"proposed":[20,96,129],"to":[21,37,46,58,83],"aid":[22],"the":[23,48,60,74,138],"identification":[24],"of":[25,104,142],"breast":[26,93,106],"lesions.":[27],"approach,":[30],"feature":[31,39],"scoring":[32],"first":[35],"applied":[36],"product":[38],"data.":[40],"Biclustering":[41],"mining":[42],"then":[44],"helpful":[45],"discover":[47],"effective":[49],"diagnostic":[50],"patterns,":[51],"and":[52,91,113],"those":[53,68],"found":[54],"patterns":[55],"are":[56,71],"utilized":[57],"transform":[59],"original":[61],"features":[62,70],"into":[63],"advanced":[64,69],"hidden":[65],"features.":[66],"Finally":[67],"treated":[72],"as":[73],"input":[75],"data":[76],"for":[77,88],"back-propagation":[78],"(BP)":[79],"neural":[80],"network":[81],"algorithm":[82],"train":[84],"an":[85],"efficient":[86],"classifier":[87],"recognizing":[89],"benign":[90,111],"malignant":[92,115],"tumors.":[94],"The":[95],"approach":[97],"has":[98],"been":[99],"validated":[100],"using":[101],"database":[103],"238":[105],"tumor":[107,135],"instances":[108],"(including":[109],"115":[110],"cases":[112],"123":[114],"cases)":[116],"with":[117,121,137],"its":[118],"performance":[119,133],"compared":[120],"other":[122],"conventional":[123],"approaches.":[124],"Experimental":[125],"results":[126],"indicate":[127],"our":[128],"method":[130],"yielded":[131],"good":[132],"classification,":[136],"accuracy,":[139],"sensitivity,":[140],"specificity":[141],"96.1%,":[143],"96.7%,":[144],"95.7%,":[145],"respectively.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
