{"id":"https://openalex.org/W4280572561","doi":"https://doi.org/10.1080/21681163.2022.2068161","title":"Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network","display_name":"Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4280572561","doi":"https://doi.org/10.1080/21681163.2022.2068161"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2022.2068161","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2068161","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5102809712","display_name":"R. Meena Prakash","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. Meena Prakash","raw_affiliation_strings":["Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India"],"raw_orcid":"https://orcid.org/0000-0002-0199-8998","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081914658","display_name":"R. Shantha Selva Kumari","orcid":"https://orcid.org/0000-0003-4123-7744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Shantha Selva Kumari","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India"],"raw_orcid":"https://orcid.org/0000-0003-4123-7744","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013685632","display_name":"K. Valarmathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Valarmathi","raw_affiliation_strings":["Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109735615","display_name":"K Ramalakshmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Ramalakshmi","raw_affiliation_strings":["Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102809712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6088,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83512875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"266","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/T12676","display_name":"Machine Learning and ELM","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7561560869216919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106171250343323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6591500043869019},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6502364873886108},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5716841816902161},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5570693612098694},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.543570339679718},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5106282830238342},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2640700936317444}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7561560869216919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106171250343323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6591500043869019},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6502364873886108},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5716841816902161},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5570693612098694},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.543570339679718},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5106282830238342},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2640700936317444}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2022.2068161","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2068161","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2187181723","https://openalex.org/W2769433228","https://openalex.org/W2809254203","https://openalex.org/W2884166952","https://openalex.org/W2906302663","https://openalex.org/W2912031002","https://openalex.org/W2945839551","https://openalex.org/W2947735999","https://openalex.org/W2955805844","https://openalex.org/W2962835968","https://openalex.org/W2963446712","https://openalex.org/W2984619469","https://openalex.org/W2988321605","https://openalex.org/W2995378448","https://openalex.org/W3004866273","https://openalex.org/W3016651621","https://openalex.org/W3034436104","https://openalex.org/W3034970121","https://openalex.org/W3045233820","https://openalex.org/W3049701326","https://openalex.org/W3086049619","https://openalex.org/W3091484480","https://openalex.org/W3096199234","https://openalex.org/W3097251131","https://openalex.org/W3109971264","https://openalex.org/W3112351389","https://openalex.org/W3119429736","https://openalex.org/W3130855234","https://openalex.org/W3156922673","https://openalex.org/W3163071387","https://openalex.org/W3169322724","https://openalex.org/W3174532863","https://openalex.org/W3190297862","https://openalex.org/W3195352393"],"related_works":["https://openalex.org/W3189091156","https://openalex.org/W3012393889","https://openalex.org/W2807839383","https://openalex.org/W2997709384","https://openalex.org/W4220996320","https://openalex.org/W2738221750","https://openalex.org/W3118457286","https://openalex.org/W4285149559","https://openalex.org/W3156786002","https://openalex.org/W2800691917"],"abstract_inverted_index":{"Brain":[0],"cancer":[1],"is":[2,39,112,132,142,159,186],"one":[3],"of":[4,9,18,26,33,45,50,67,69,80,108,136,146,148,176,204,209,233],"the":[5,21,29,46,73,84,149,153,205,211,226],"most":[6],"leading":[7],"causes":[8],"death":[10],"in":[11,43,75,98],"human":[12],"beings.":[13],"There":[14],"are":[15,91],"different":[16],"types":[17,175],"tumours":[19,34,51,71],"affecting":[20],"brain":[22,37,70,81,109,137,169,177],"and":[23,56,60,78,182,199],"early":[24],"diagnosis":[25],"them":[27],"increases":[28],"survival":[30],"rate.":[31],"Classification":[32],"from":[35],"MR":[36,168],"images":[38,171],"an":[40,105],"essential":[41],"task":[42],"treatment":[44,79],"disease.":[47],"Manual":[48],"classification":[49,68,77,95,111,135,154,193,212,231],"may":[52],"lead":[53],"to":[54,173,196,225],"intra":[55],"inter":[57],"observer":[58],"variability":[59],"also":[61],"time":[62],"consuming.":[63],"Hence,":[64],"automated":[65,106],"method":[66,107,158,221],"assists":[72],"doctors":[74],"diagnosis,":[76],"tumours.":[82,138,184],"Since":[83],"past":[85],"decade,":[86],"deep":[87,117],"learning":[88,118,128],"based":[89,114],"methods":[90,228],"widely":[92],"used":[93,133],"for":[94,134,217],"problems":[96],"especially":[97],"medical":[99],"image":[100],"classification.":[101],"In":[102],"this":[103],"paper,":[104],"tumour":[110,170],"proposed":[113,157],"on":[115,161],"enhanced":[116],"approach":[119],"using":[120],"densely":[121],"connected":[122],"convolutional":[123],"network":[124],"(DenseNet).":[125],"The":[126,139,156,220],"transfer":[127],"with":[129,229],"DenseNet121":[130,218],"architecture":[131,190],"CNN":[140],"model":[141],"optimised":[143],"by":[144,215],"tuning":[145,203],"hyper-parameters":[147],"network,":[150],"thereby":[151],"improving":[152],"accuracy.":[155],"evaluated":[160],"publicly":[162],"available":[163],"data":[164],"set":[165],"comprising":[166],"3064":[167],"belonging":[172],"three":[174],"tumors":[178],"\u2013":[179],"meningioma,":[180],"glioma":[181],"pituitary":[183],"It":[185],"inferred":[187],"that":[188],"DenseNet":[189],"gives":[191],"better":[192],"accuracy":[194,213,232],"compared":[195,224],"VGG16,":[197],"SVM":[198],"AlexNet.":[200],"Through":[201],"hyper-parameter":[202],"top":[206],"dense":[207],"layers":[208],"CNN,":[210],"improves":[214],"5.26%":[216],"architecture.":[219],"performs":[222],"superior":[223],"state-of-the-art":[227],"a":[230],"97.39%.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}