{"id":"https://openalex.org/W4407693442","doi":"https://doi.org/10.1109/access.2025.3543214","title":"An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification","display_name":"An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407693442","doi":"https://doi.org/10.1109/access.2025.3543214"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3543214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543214","pdf_url":null,"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://doi.org/10.1109/access.2025.3543214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116309670","display_name":"Santosh Kumar Chhotray","orcid":null},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Chhotray","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108016465","display_name":"Debahuti Mishra","orcid":"https://orcid.org/0000-0002-6827-6121"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debahuti Mishra","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-6827-6121","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029589196","display_name":"Sarada Prasanna Pati","orcid":null},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarada Prasanna Pati","raw_affiliation_strings":["Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085316306","display_name":"Sashikala Mishra","orcid":"https://orcid.org/0000-0002-5433-4917"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]},{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sashikala Mishra","raw_affiliation_strings":["Department of Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed to be University), Pune, Maharashtra, India","Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-5433-4917","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed to be University), Pune, Maharashtra, India","institution_ids":["https://openalex.org/I244572783"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Siksha &#x2018;O&#x2019; Anusandhan (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.7817,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96307043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"32681","last_page":"32705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9423999786376953,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9083999991416931,"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/feature-extraction","display_name":"Feature extraction","score":0.7874367833137512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7593969106674194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6879662275314331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6754705309867859},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5146263837814331}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7874367833137512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593969106674194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6879662275314331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6754705309867859},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5146263837814331},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/access.2025.3543214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543214","pdf_url":null,"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:fb3e806e537d41439e9aa9421194743c","is_oa":true,"landing_page_url":"https://doaj.org/article/fb3e806e537d41439e9aa9421194743c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 13, Pp 32681-32705 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3543214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543214","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W401943522","https://openalex.org/W1934410531","https://openalex.org/W2639370877","https://openalex.org/W2739575296","https://openalex.org/W2954876896","https://openalex.org/W3043500847","https://openalex.org/W3087969957","https://openalex.org/W3110274389","https://openalex.org/W4224306105","https://openalex.org/W4226312434","https://openalex.org/W4229335297","https://openalex.org/W4280590805","https://openalex.org/W4285243643","https://openalex.org/W4285296091","https://openalex.org/W4292347793","https://openalex.org/W4308634826","https://openalex.org/W4317748807","https://openalex.org/W4317748907","https://openalex.org/W4318823721","https://openalex.org/W4319303005","https://openalex.org/W4320532256","https://openalex.org/W4323653191","https://openalex.org/W4367666404","https://openalex.org/W4376891758","https://openalex.org/W4378907752","https://openalex.org/W4379011559","https://openalex.org/W4381093790","https://openalex.org/W4383220140","https://openalex.org/W4385064726","https://openalex.org/W4385437200","https://openalex.org/W4386071670","https://openalex.org/W4387350583","https://openalex.org/W4388993439","https://openalex.org/W4389459447","https://openalex.org/W4390045805","https://openalex.org/W4390241177","https://openalex.org/W4391097126","https://openalex.org/W4391263837","https://openalex.org/W4391584574","https://openalex.org/W4392207614","https://openalex.org/W4392436154","https://openalex.org/W4392902375","https://openalex.org/W4393170648","https://openalex.org/W4393244846","https://openalex.org/W4394602543","https://openalex.org/W4394627358","https://openalex.org/W4394685266","https://openalex.org/W4394994620","https://openalex.org/W4398780537","https://openalex.org/W4398787803","https://openalex.org/W4399356537","https://openalex.org/W4399666074","https://openalex.org/W4400299832","https://openalex.org/W4400447715","https://openalex.org/W4401226089","https://openalex.org/W4401877518","https://openalex.org/W4402435398","https://openalex.org/W4402493135","https://openalex.org/W4402508402","https://openalex.org/W4402770349","https://openalex.org/W4402970442","https://openalex.org/W4404179181","https://openalex.org/W4405440995"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"This":[0],"study":[1],"enhances":[2],"brain":[3,89],"tumor":[4,90],"classification":[5],"by":[6],"leveraging":[7],"pre-trained":[8,42,85],"models":[9,55,86,178,202],"and":[10,16,35,46,50,78,97,111,141,174,184,206],"attention":[11,60,204],"mechanisms,":[12],"ultimately":[13],"improving":[14],"accuracy":[15,102,131,175],"reliability":[17],"in":[18,87,126,221],"medical":[19],"imaging":[20],"diagnostics":[21],"through":[22],"feature":[23],"extraction.":[24],"A":[25],"generative":[26],"adversarial":[27],"network":[28],"(GAN)":[29],"is":[30,69],"employed":[31],"for":[32,116,137,146],"artifact":[33],"removal,":[34],"images":[36],"are":[37],"resized":[38],"to$224\\times":[39],"224$pixels.":[40],"Four":[41],"models\u2014VGG16,":[43],"ResNet50,":[44],"NASNet,":[45],"DenseNet121\u2014capture":[47],"distinct":[48],"features,":[49],"a":[51,100],"Custom-CNN":[52,82,201],"integrates":[53],"these":[54],"with":[56,130,180,225],"the":[57,73,117,138,147,151,160,164,190,193,211,215,222,226],"convolutional":[58],"block":[59],"module":[61],"(CBAM).":[62],"The":[63,80,120,156,197],"bald":[64],"eagle":[65],"optimization":[66,187,195,207],"(BEO)":[67],"algorithm":[68,182],"used":[70],"to":[71,135,144,167,177],"optimize":[72],"hyperparameters":[74],"while":[75],"balancing":[76],"exploration":[77],"exploitation.":[79],"proposed":[81],"outperformed":[83],"all":[84],"classifying":[88],"data":[91],"across":[92],"three":[93],"datasets":[94],"(Br35H,":[95],"FIGSHARE,":[96],"SARTAJ),":[98],"achieving":[99,150],"highest":[101,152],"of":[103,106,109,114,122,154,159,192,199,219],"0.9722,":[104],"sensitivity":[105],"0.9689,":[107],"precision":[108],"0.9721,":[110],"an":[112],"F-score":[113,153],"0.9708":[115],"Br35H":[118,139],"dataset.":[119],"incorporation":[121],"CBAM":[123],"(Custom-CNN-CBAM)":[124],"resulted":[125],"consistent":[127],"performance":[128],"improvements,":[129],"increasing":[132],"from":[133,142],"0.9433":[134],"0.9572":[136],"dataset":[140],"0.9336":[143],"0.9501":[145],"FIGSHARE":[148],"dataset,":[149],"0.9598.":[155],"enhanced":[157],"version":[158],"Custom-CNN-CBAM":[161],"model":[162,213],"utilizing":[163],"BEO,":[165],"referred":[166],"as":[168],"Custom-CNN-CBAM-BEO,":[169],"demonstrated":[170],"superior":[171],"convergence":[172],"speed":[173],"compared":[176],"optimized":[179],"genetic":[181],"(GA)":[183],"particle":[185],"swarm":[186],"(PSO),":[188],"highlighting":[189],"effectiveness":[191],"BEO":[194],"approach.":[196],"evaluation":[198],"various":[200],"incorporating":[203],"mechanisms":[205],"techniques":[208],"revealed":[209],"that":[210],"Custom-CNN-CBAM-BEO":[212],"achieved":[214],"best":[216],"average":[217],"rank":[218],"5.68":[220],"Friedman":[223],"test,":[224],"Bonferroni-Dunn":[227],"test":[228],"confirming":[229],"its":[230],"superiority.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
