{"id":"https://openalex.org/W4411098882","doi":"https://doi.org/10.1145/3723178.3723301","title":"Enhanced Brain Tumor Classification using Ensemble Fusion Method","display_name":"Enhanced Brain Tumor Classification using Ensemble Fusion Method","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4411098882","doi":"https://doi.org/10.1145/3723178.3723301"},"language":"en","primary_location":{"id":"doi:10.1145/3723178.3723301","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723301","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723301","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723301","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093207602","display_name":"Ritu Sarker Puja","orcid":null},"institutions":[{"id":"https://openalex.org/I96426537","display_name":"Bangladesh University of Professionals","ror":"https://ror.org/01zphyp78","country_code":"BD","type":"education","lineage":["https://openalex.org/I96426537"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Ritu Sarker Puja","raw_affiliation_strings":["Bangladesh University of Professionals (BUP), Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0000-2675-2479","affiliations":[{"raw_affiliation_string":"Bangladesh University of Professionals (BUP), Dhaka, Bangladesh","institution_ids":["https://openalex.org/I96426537"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047478045","display_name":"Mohammad Abu Yousuf","orcid":"https://orcid.org/0000-0001-8065-7173"},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Abu Yousuf","raw_affiliation_strings":["Institute of Information Technology, Jahangirnagar University, Savar, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-8065-7173","affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Jahangirnagar University, Savar, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093207602"],"corresponding_institution_ids":["https://openalex.org/I96426537"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32753813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"925","last_page":"931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9901000261306763,"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":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.6215621829032898},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5017426013946533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000081062316895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6215621829032898},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5017426013946533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000081062316895},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723178.3723301","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723301","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723301","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723178.3723301","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723301","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723301","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411098882.pdf","grobid_xml":"https://content.openalex.org/works/W4411098882.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1936540442","https://openalex.org/W2182098131","https://openalex.org/W2194775991","https://openalex.org/W2810816692","https://openalex.org/W2921483513","https://openalex.org/W2963446712","https://openalex.org/W2982185347","https://openalex.org/W2995378448","https://openalex.org/W2995683363","https://openalex.org/W3000396774","https://openalex.org/W3006589360","https://openalex.org/W3047434002","https://openalex.org/W3119471820","https://openalex.org/W3191844042","https://openalex.org/W4213442487","https://openalex.org/W4224271142","https://openalex.org/W4226197691","https://openalex.org/W4287009405","https://openalex.org/W4289109286","https://openalex.org/W4295137765","https://openalex.org/W4320712817","https://openalex.org/W4365135358","https://openalex.org/W4367857352","https://openalex.org/W4380989166","https://openalex.org/W4382314633","https://openalex.org/W4383343037","https://openalex.org/W4384030354","https://openalex.org/W4386838079","https://openalex.org/W4388190812","https://openalex.org/W6902002720"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"human":[1],"brain":[2,13,31,45,75,99,124,130,176],"is":[3,47,52,82,160],"the":[4,9,17,26,56,61,111,153,156,165],"primary":[5],"control":[6],"center":[7],"of":[8,44,129],"nervous":[10],"system,":[11],"and":[12,51,59,126,134,144,162,179],"tumors":[14],"are":[15],"among":[16],"most":[18],"fatal":[19],"illnesses.Magnetic":[20],"resonance":[21],"imaging":[22],"(MRI)":[23],"has":[24,113,121,163],"become":[25],"leading":[27],"technique":[28,170],"for":[29,74,174],"early":[30],"cancer":[32],"diagnosis":[33,178],"due":[34],"to":[35,39,49,97,167],"its":[36],"exceptional":[37],"ability":[38],"visualize":[40],"soft":[41],"tissues.Manual":[42],"interpretation":[43],"MRIs":[46],"susceptible":[48],"errors":[50],"significantly":[53],"influenced":[54],"by":[55],"radiologist's":[57],"fatigue":[58],"experience.In":[60],"past":[62],"decade,":[63],"deep":[64,91],"convolutional":[65],"neural":[66],"networks":[67],"(CNNs)":[68],"have":[69],"been":[70,114],"an":[71,84],"effective":[72],"instrument":[73],"tumor":[76,100,177],"classification":[77],"in":[78],"medical":[79],"imaging.This":[80],"research":[81],"presented":[83],"innovative":[85],"fusion":[86,169],"approach":[87],"that":[88,120],"combines":[89],"pre-trained":[90,140],"CNNs":[92],"with":[93,116],"a":[94,117,147],"transformer-based":[95],"model":[96,159],"improve":[98],"classification.By":[101],"integrating":[102],"three":[103,127,139],"separate":[104],"MRI":[105],"datasets":[106],"into":[107],"one":[108],"unified":[109],"dataset,":[110],"study":[112],"provided":[115],"comprehensive":[118],"resource":[119],"included":[122],"normal":[123],"scans":[125],"categories":[128],"tumors:":[131],"glioma,":[132],"meningioma,":[133],"pituitary.The":[135],"ensemble":[136,154],"method":[137],"employed":[138],"models":[141],"(VGG19,":[142],"InceptionV3,":[143],"ResNet50),":[145],"achieving":[146],"93.5%":[148],"accuracy":[149,166],"rate.Finally,":[150],"after":[151],"applying":[152],"technique,":[155],"Vision":[157],"Transformer":[158],"utilized":[161],"increased":[164],"98.32%.This":[168],"shows":[171],"great":[172],"potential":[173],"enhancing":[175],"patient":[180],"care.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}