{"id":"https://openalex.org/W4384158261","doi":"https://doi.org/10.1109/aiiot58121.2023.10174304","title":"Machine Learning Models for Histopathological Breast Cancer Image Classification","display_name":"Machine Learning Models for Histopathological Breast Cancer Image Classification","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4384158261","doi":"https://doi.org/10.1109/aiiot58121.2023.10174304"},"language":"en","primary_location":{"id":"doi:10.1109/aiiot58121.2023.10174304","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiiot58121.2023.10174304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE World AI IoT Congress (AIIoT)","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/A5031331250","display_name":"Samantha Haines","orcid":null},"institutions":[{"id":"https://openalex.org/I186776151","display_name":"Rider University","ror":"https://ror.org/01dgn5344","country_code":"US","type":"education","lineage":["https://openalex.org/I186776151"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samantha Haines","raw_affiliation_strings":["Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States"],"affiliations":[{"raw_affiliation_string":"Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","institution_ids":["https://openalex.org/I186776151"]},{"raw_affiliation_string":"Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States","institution_ids":["https://openalex.org/I186776151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020691490","display_name":"Eric Eaton","orcid":null},"institutions":[{"id":"https://openalex.org/I186776151","display_name":"Rider University","ror":"https://ror.org/01dgn5344","country_code":"US","type":"education","lineage":["https://openalex.org/I186776151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Eaton","raw_affiliation_strings":["Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States"],"affiliations":[{"raw_affiliation_string":"Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","institution_ids":["https://openalex.org/I186776151"]},{"raw_affiliation_string":"Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States","institution_ids":["https://openalex.org/I186776151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049385876","display_name":"Md Liakat Ali","orcid":"https://orcid.org/0000-0001-8945-3230"},"institutions":[{"id":"https://openalex.org/I186776151","display_name":"Rider University","ror":"https://ror.org/01dgn5344","country_code":"US","type":"education","lineage":["https://openalex.org/I186776151"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Liakat Ali","raw_affiliation_strings":["Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States"],"affiliations":[{"raw_affiliation_string":"Rider University,Dept. of Computer Science and Physics,Lawrenceville,NJ,United States","institution_ids":["https://openalex.org/I186776151"]},{"raw_affiliation_string":"Dept. of Computer Science and Physics, Rider University, Lawrenceville, NJ, United States","institution_ids":["https://openalex.org/I186776151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031331250"],"corresponding_institution_ids":["https://openalex.org/I186776151"],"apc_list":null,"apc_paid":null,"fwci":1.0461,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8109688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"0036","last_page":"0041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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":0.9937999844551086,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9635999798774719,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7665082216262817},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6407438516616821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280331611633301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6003208160400391},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5919761657714844},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.48061150312423706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4754723608493805},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4692007899284363},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4670160412788391},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.46404972672462463},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4616059362888336},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4582899808883667},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43630653619766235},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42805081605911255},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42430388927459717},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4194730818271637},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4107477366924286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3923775255680084},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.128803551197052}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7665082216262817},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6407438516616821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280331611633301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6003208160400391},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5919761657714844},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.48061150312423706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4754723608493805},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4692007899284363},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4670160412788391},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.46404972672462463},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4616059362888336},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4582899808883667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43630653619766235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42805081605911255},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42430388927459717},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4194730818271637},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4107477366924286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3923775255680084},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.128803551197052},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiiot58121.2023.10174304","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiiot58121.2023.10174304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE World AI IoT Congress (AIIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8399999737739563,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2103243046","https://openalex.org/W2128728535","https://openalex.org/W2148309496","https://openalex.org/W2293086481","https://openalex.org/W2295598076","https://openalex.org/W2783687327","https://openalex.org/W2810207020","https://openalex.org/W2912619913","https://openalex.org/W3006813215","https://openalex.org/W3047083963","https://openalex.org/W3113515355","https://openalex.org/W3140415241","https://openalex.org/W3142594112","https://openalex.org/W3209949649","https://openalex.org/W4200519452","https://openalex.org/W4214712311","https://openalex.org/W4294832764","https://openalex.org/W6758871587","https://openalex.org/W6805902123"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2994772185","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,13],"is":[2,22,30],"among":[3],"the":[4,16,23,96,99,121],"most":[5],"common":[6],"forms":[7],"of":[8,12,26,37,98,124],"cancer,":[9],"representing":[10],"30%":[11],"cases":[14],"in":[15],"United":[17],"States":[18],"per":[19],"year":[20],"and":[21,71,91,109,116,146],"leading":[24],"cause":[25],"cancer-induced":[27],"mortality.":[28],"Diagnosis":[29],"determined":[31],"through":[32],"biopsies":[33],"followed":[34],"by":[35],"analysis":[36],"histopathological":[38,89],"images.":[39],"Machine":[40],"Learning":[41],"(ML)":[42],"proves":[43],"to":[44,79],"be":[45],"an":[46],"essential":[47],"image":[48],"classification":[49],"tool,":[50],"with":[51],"Convolutional":[52],"Neural":[53],"Networks":[54],"(CNN)":[55],"providing":[56],"high":[57],"accuracy,":[58],"but":[59],"long":[60],"training":[61],"time.":[62],"To":[63],"provide":[64],"optimal":[65,132],"ML":[66,112],"models":[67,113,128],"for":[68,134,143],"medical":[69],"use":[70],"evaluate":[72],"model":[73],"performance,":[74],"unstructured":[75],"images":[76,90],"are":[77],"converted":[78],"structured":[80],"data.":[81],"Singular":[82],"Value":[83],"Decomposition":[84],"extracted":[85],"features":[86],"from":[87],"277,524":[88],"Recursive":[92],"Feature":[93],"Selection":[94],"reduced":[95],"dimensionality":[97],"resultant":[100],"dataset.":[101],"Logistic":[102],"Regression,":[103],"Decision":[104],"Tree,":[105],"XGBoost,":[106],"K-Nearest":[107,118],"neighbours":[108,119],"Multi-layer":[110],"Perceptron":[111],"were":[114],"trained":[115],"evaluated.":[117],"had":[120],"highest":[122],"accuracy":[123,133],"77.94%.":[125],"While":[126],"these":[127],"do":[129],"not":[130],"have":[131],"real":[135],"world":[136],"applications,":[137],"their":[138],"exceptional":[139],"speed":[140],"provides":[141],"support":[142],"further":[144],"improvement":[145],"exploration.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}