{"id":"https://openalex.org/W3037889230","doi":"https://doi.org/10.1109/access.2020.3005228","title":"Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis","display_name":"Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037889230","doi":"https://doi.org/10.1109/access.2020.3005228","mag":"3037889230"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3005228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005228","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126791.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101981237","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0003-0981-6885"},"institutions":[{"id":"https://openalex.org/I4210161255","display_name":"Liaoning Cancer Hospital & Institute","ror":"https://ror.org/05d659s21","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161255"]},{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Breast Surgery, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Breast Surgery, Shenyang, China","institution_ids":["https://openalex.org/I4210161255","https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589835","display_name":"Dianning He","orcid":"https://orcid.org/0000-0002-0867-6238"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianning He","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008602","display_name":"Yue Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zheng","raw_affiliation_strings":["Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091104259","display_name":"Huaibi Huo","orcid":"https://orcid.org/0000-0001-8619-9302"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaibi Huo","raw_affiliation_strings":["Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103030653","display_name":"Simiao Li","orcid":"https://orcid.org/0000-0003-3176-5770"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simiao Li","raw_affiliation_strings":["Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006382191","display_name":"Ruimei Chai","orcid":"https://orcid.org/0000-0002-4553-2145"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimei Chai","raw_affiliation_strings":["Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418125","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0002-0516-6996"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First affiliated Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101981237"],"corresponding_institution_ids":["https://openalex.org/I4210161255","https://openalex.org/I91656880"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.1158,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.94944271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"120208","last_page":"120217"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9948999881744385,"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":0.9866999983787537,"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":0.7568250894546509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175415754318237},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6657603979110718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6358769536018372},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6230669617652893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4824815094470978},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47431254386901855},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4455410838127136},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4376150667667389},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4225541949272156},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4195351004600525},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4157216548919678},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.15377625823020935}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7568250894546509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175415754318237},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6657603979110718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6358769536018372},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6230669617652893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4824815094470978},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47431254386901855},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4455410838127136},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4376150667667389},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4225541949272156},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4195351004600525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4157216548919678},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.15377625823020935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3005228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005228","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:65d1d7a20ad447c39fba11ef3087255d","is_oa":true,"landing_page_url":"https://doaj.org/article/65d1d7a20ad447c39fba11ef3087255d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 120208-120217 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3005228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005228","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09126791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037889230.pdf","grobid_xml":"https://content.openalex.org/works/W3037889230.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1980960118","https://openalex.org/W2190746225","https://openalex.org/W2317417577","https://openalex.org/W2409650203","https://openalex.org/W2474421929","https://openalex.org/W2509685700","https://openalex.org/W2588570836","https://openalex.org/W2592191562","https://openalex.org/W2593134963","https://openalex.org/W2604318649","https://openalex.org/W2607075141","https://openalex.org/W2609584387","https://openalex.org/W2708846726","https://openalex.org/W2755012395","https://openalex.org/W2772723798","https://openalex.org/W2787746658","https://openalex.org/W2794622599","https://openalex.org/W2794803511","https://openalex.org/W2803035327","https://openalex.org/W2892961888","https://openalex.org/W2914836117","https://openalex.org/W2928842276","https://openalex.org/W2988008335","https://openalex.org/W3098150009","https://openalex.org/W6699464186","https://openalex.org/W6721136770","https://openalex.org/W6734301295","https://openalex.org/W6740537426"],"related_works":["https://openalex.org/W2951122819","https://openalex.org/W2371425310","https://openalex.org/W2998259334","https://openalex.org/W2239966463","https://openalex.org/W2641936149","https://openalex.org/W2408521075","https://openalex.org/W3112445271","https://openalex.org/W2155435857","https://openalex.org/W2903240209","https://openalex.org/W2368894008"],"abstract_inverted_index":{"In":[0],"the":[1,4,26,38,53,59,92,107,114,129,133,140,144,149],"recent":[2],"past,":[3],"Classifiers":[5],"are":[6,16],"based":[7,105],"on":[8,106],"genetic":[9],"signatures":[10],"in":[11,52],"which":[12],"many":[13,158],"microarray":[14],"studies":[15,30],"analyzed":[17],"to":[18,57,87,112],"predict":[19],"medical":[20],"results":[21,146],"for":[22,139],"cancer":[23,124],"patients.":[24],"However,":[25],"Signatures":[27],"from":[28],"different":[29,89],"have":[31,136],"been":[32,44,103,137],"benefitted":[33],"with":[34,168],"low-intensity":[35],"ratio":[36],"during":[37],"classification":[39,101],"of":[40,50,73,76,94,117,128],"individual":[41],"datasets":[42,125],"has":[43,102],"considered":[45],"as":[46,162],"a":[47,65],"significant":[48],"point":[49],"research":[51],"present":[54],"scenario.":[55],"Hence":[56],"overcome":[58],"above-discussed":[60],"issue,":[61],"this":[62],"paper":[63],"provides":[64],"Deep":[66,108,176],"Learning":[67,109,177],"Framework":[68],"that":[69,148],"combines":[70],"an":[71,98],"algorithm":[72,111],"necessary":[74],"processing":[75],"Linear":[77],"Discriminant":[78],"Analysis":[79],"(LDA)":[80],"and":[81,126,165,180],"Auto":[82],"Encoder":[83],"(AE)":[84],"Neural":[85],"Network":[86],"classify":[88],"features":[90],"within":[91],"profile":[93],"gene":[95],"expression.":[96],"Hence,":[97],"advanced":[99],"ensemble":[100],"developed":[104],"(DL)":[110],"assess":[113],"clinical":[115],"outcome":[116],"breast":[118,123],"cancer.":[119],"Furthermore,":[120],"numerous":[121],"independent":[122],"representations":[127],"signature":[130],"gene,":[131],"including":[132],"primary":[134],"method,":[135],"evaluated":[138],"optimization":[141],"parameters.":[142],"Finally,":[143],"experiment":[145],"show":[147],"suggested":[150],"deep":[151],"learning":[152,171],"frameworks":[153],"achieve":[154],"98.27%":[155],"accuracy":[156],"than":[157],"other":[159],"techniques":[160],"such":[161],"genomic":[163],"data":[164],"pathological":[166],"images":[167],"multiple":[169],"kernel":[170],"(GPMKL),":[172],"Multi-Layer":[173],"Perception":[174],"(MLP),":[175],"Diagnosis":[178],"(DLD),":[179],"Spatiotemporal":[181],"Wavelet":[182],"Kinetics":[183],"(SWK).":[184]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}