{"id":"https://openalex.org/W4388656602","doi":"https://doi.org/10.11591/ijece.v14i1.pp294-304","title":"Modified fuzzy rough set technique with stacked autoencoder model for magnetic resonance imaging based breast cancer detection","display_name":"Modified fuzzy rough set technique with stacked autoencoder model for magnetic resonance imaging based breast cancer detection","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388656602","doi":"https://doi.org/10.11591/ijece.v14i1.pp294-304"},"language":"en","primary_location":{"id":"doi:10.11591/ijece.v14i1.pp294-304","doi":"https://doi.org/10.11591/ijece.v14i1.pp294-304","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v14i1.pp294-304","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/33005/17081","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/33005/17081","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093258511","display_name":"Sachin Kumar Mamdy","orcid":"https://orcid.org/0000-0002-0101-7109","observed_orcids":["https://orcid.org/0000-0002-0101-7109"]},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachin Kumar Mamdy","raw_affiliation_strings":["Visvesvaraya Technological University"],"raw_orcid":"https://orcid.org/0000-0002-0101-7109","affiliations":[{"raw_affiliation_string":"Visvesvaraya Technological University","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091376646","display_name":"Vishwanath Petli","orcid":"https://orcid.org/0000-0001-5956-0377","observed_orcids":["https://orcid.org/0000-0001-5956-0377"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwanath Petli","raw_affiliation_strings":["SLN College of Engineering"],"raw_orcid":"https://orcid.org/0000-0001-5956-0377","affiliations":[{"raw_affiliation_string":"SLN College of Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1386,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38786661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"14","issue":"1","first_page":"294","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9467999935150146,"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":0.9467999935150146,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.025200000032782555,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.006800000090152025,"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/breast-cancer-detection","display_name":"breast cancer detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.925000011920929},{"id":"https://openalex.org/keywords/fuzzy-rough-sets","display_name":"fuzzy rough sets","score":0.8420000076293945},{"id":"https://openalex.org/keywords/stacked-autoencoder","display_name":"stacked autoencoder","score":0.9319999814033508},{"id":"https://openalex.org/keywords/breast-lesion-segmentation","display_name":"breast lesion segmentation","score":0.8349999785423279},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8180000185966492},{"id":"https://openalex.org/keywords/benign-versus-malignant-differentiation","display_name":"benign versus malignant differentiation","score":0.7739999890327454},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"adaptive histogram equalization","score":0.7839999794960022},{"id":"https://openalex.org/keywords/otsu-thresholding","display_name":"Otsu thresholding","score":0.8529999852180481},{"id":"https://openalex.org/keywords/morphological-transformation","display_name":"morphological transformation","score":0.6460000276565552},{"id":"https://openalex.org/keywords/region-growing","display_name":"region growing","score":0.6990000009536743}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7370914220809937},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6868568062782288},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6698173880577087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632366418838501},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5869846343994141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5776805877685547},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5580230951309204},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.49522414803504944},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.45278969407081604},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4522460401058197},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4430457055568695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3685581684112549},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3515353798866272},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3041302561759949},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21232515573501587},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19612520933151245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13749757409095764},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijece.v14i1.pp294-304","doi":"https://doi.org/10.11591/ijece.v14i1.pp294-304","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v14i1.pp294-304","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/33005/17081","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijece.v14i1.pp294-304","doi":"https://doi.org/10.11591/ijece.v14i1.pp294-304","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v14i1.pp294-304","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/33005/17081","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9391000270843506,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388656602.pdf","grobid_xml":"https://content.openalex.org/works/W4388656602.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2894754687","https://openalex.org/W2895359825","https://openalex.org/W2928842276","https://openalex.org/W2929959569","https://openalex.org/W2963716858","https://openalex.org/W2990447762","https://openalex.org/W3009725247","https://openalex.org/W3021530737","https://openalex.org/W3031676723","https://openalex.org/W3049458615","https://openalex.org/W3096102603","https://openalex.org/W3106717751","https://openalex.org/W3109098079","https://openalex.org/W3110443126","https://openalex.org/W3112635222","https://openalex.org/W3118545455","https://openalex.org/W3125782395","https://openalex.org/W3126634865","https://openalex.org/W3127718227","https://openalex.org/W3127898169","https://openalex.org/W3136506138","https://openalex.org/W3138525496","https://openalex.org/W3143258789","https://openalex.org/W3144825495","https://openalex.org/W4282982312","https://openalex.org/W4283512560","https://openalex.org/W4283514389","https://openalex.org/W4283767404","https://openalex.org/W4293723184","https://openalex.org/W4308446949"],"related_works":["https://openalex.org/W7218265627","https://openalex.org/W4313202026","https://openalex.org/W4225422095","https://openalex.org/W2973865375","https://openalex.org/W2114636468","https://openalex.org/W197115462","https://openalex.org/W4392980893","https://openalex.org/W4295762936","https://openalex.org/W4403249126","https://openalex.org/W2625641253"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,5,38],"is":[2,29,43,50,60,75,99],"the":[3,12,33,56,72,84,89,103,106,111,123,128,137,148,156,174,181],"common":[4],"in":[6,23,40,52,187],"women,":[7],"where":[8],"early":[9],"detection":[10,39],"reduces":[11],"mortality":[13],"rate.":[14],"The":[15,35,117,133,169],"magnetic":[16],"resonance":[17],"imaging":[18],"(MRI)":[19],"images":[20,42],"are":[21,86,120,152],"efficient":[22],"analyzing":[24],"breast":[25,37,73,182],"cancer,":[26],"but":[27],"it":[28],"hard":[30],"to":[31,101,122,155],"identify":[32],"abnormalities.":[34],"manual":[36],"MRI":[41],"inefficient;":[44],"therefore,":[45],"a":[46,93],"deep":[47],"learning-based":[48],"system":[49,112],"implemented":[51],"this":[53],"manuscript.":[54],"Initially,":[55],"visual":[57],"quality":[58],"improvement":[59],"done":[61],"using":[62],"region":[63],"growing":[64],"and":[65,70,92,114,130,142,165,179,191],"adaptive":[66],"histogram":[67],"equalization":[68],"(AHE),":[69],"then,":[71],"lesion":[74],"segmented":[76,90],"by":[77],"Otsu":[78],"thresholding":[79],"with":[80],"morphological":[81],"transform.":[82],"Next,":[83],"features":[85,108,119],"extracted":[87,107],"from":[88],"lesion,":[91],"modified":[94],"fuzzy":[95],"rough":[96],"set":[97],"technique":[98],"proposed":[100,138,175],"reduce":[102],"dimensions":[104],"of":[105,144],"that":[109,136,173,184],"decreases":[110],"complexity":[113],"computational":[115],"time.":[116],"active":[118],"fed":[121],"stacked":[124],"autoencoder":[125],"for":[126],"classifying":[127],"benign":[129],"malignant":[131],"classes.":[132],"results":[134,171],"demonstrated":[135],"model":[139,176],"attained":[140],"99%":[141],"99.22%":[143],"classification":[145],"accuracy":[146],"on":[147],"benchmark":[149],"datasets,":[150],"which":[151],"higher":[153],"related":[154],"comparative":[157],"classifiers:":[158],"decision":[159],"tree,":[160],"na\u00efve":[161],"Bayes,":[162],"random":[163],"forest":[164],"k-nearest":[166],"neighbor":[167],"(KNN).":[168],"obtained":[170],"state":[172],"superiorly":[177],"screens":[178],"detects":[180],"lesions":[183],"assists":[185],"clinicians":[186],"effective":[188],"therapeutic":[189],"intervention":[190],"timely":[192],"treatment.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-15T00:00:00"}
