{"id":"https://openalex.org/W2904910159","doi":"https://doi.org/10.1109/access.2018.2885639","title":"A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification","display_name":"A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification","publication_year":2018,"publication_date":"2018-12-10","ids":{"openalex":"https://openalex.org/W2904910159","doi":"https://doi.org/10.1109/access.2018.2885639","mag":"2904910159"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2885639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571163.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/8600701/08571163.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044672544","display_name":"D. Jude Hemanth","orcid":"https://orcid.org/0000-0002-6091-1880"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Jude Hemanth","raw_affiliation_strings":["Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-6091-1880","affiliations":[{"raw_affiliation_string":"Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102818796","display_name":"J. Anitha","orcid":"https://orcid.org/0000-0001-7977-8410"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Anitha","raw_affiliation_strings":["Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053837641","display_name":"Antoanela Naaji","orcid":"https://orcid.org/0000-0002-7298-5107"},"institutions":[{"id":"https://openalex.org/I4210106141","display_name":"Vasile Goldis Western University of Arad","ror":"https://ror.org/01e0stw12","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210106141"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Antoanela Naaji","raw_affiliation_strings":["Faculty of Economics, Engineering and Computer Science, Vasile Goldis Western University of Arad, Arad, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, Engineering and Computer Science, Vasile Goldis Western University of Arad, Arad, Romania","institution_ids":["https://openalex.org/I4210106141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003398556","display_name":"Oana Geman","orcid":"https://orcid.org/0000-0002-8347-8733"},"institutions":[{"id":"https://openalex.org/I12012874","display_name":"\u015etefan cel Mare University of Suceava","ror":"https://ror.org/035pkj773","country_code":"RO","type":"education","lineage":["https://openalex.org/I12012874"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Oana Geman","raw_affiliation_strings":["Department of Health and Human Development, Stefan cel Mare University of Suceava, Suceava, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health and Human Development, Stefan cel Mare University of Suceava, Suceava, Romania","institution_ids":["https://openalex.org/I12012874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068349776","display_name":"Daniela Elena Popescu","orcid":"https://orcid.org/0000-0001-7804-5178"},"institutions":[{"id":"https://openalex.org/I162871001","display_name":"University of Oradea","ror":"https://ror.org/00wzhv093","country_code":"RO","type":"education","lineage":["https://openalex.org/I162871001"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Daniela Elena Popescu","raw_affiliation_strings":["Department of Computers and Information Technology, University of Oradea, Oradea, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computers and Information Technology, University of Oradea, Oradea, Romania","institution_ids":["https://openalex.org/I162871001"]}]},{"author_position":"last","author":{"id":null,"display_name":"Le Hoang Son","orcid":"https://orcid.org/0000-0002-7967-8732"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Le Hoang Son","raw_affiliation_strings":["Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-7967-8732","affiliations":[{"raw_affiliation_string":"Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I141445968"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"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":4.8843,"has_fulltext":true,"cited_by_count":161,"citation_normalized_percentile":{"value":0.95790031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"4275","last_page":"4283"},"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/T10862","display_name":"AI in cancer detection","score":0.9965999722480774,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9955999851226807,"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":0.8024073839187622},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7808029055595398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6538838148117065},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6261647939682007},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6249576210975647},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5891920328140259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5788269639015198},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5305203795433044},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5236915349960327},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5226380825042725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5058126449584961},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48533859848976135},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4785462021827698},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47049546241760254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4507772624492645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3603978157043457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3455977439880371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11840489506721497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024073839187622},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7808029055595398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6538838148117065},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6261647939682007},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6249576210975647},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5891920328140259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5788269639015198},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5305203795433044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5236915349960327},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5226380825042725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5058126449584961},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48533859848976135},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4785462021827698},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47049546241760254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4507772624492645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3603978157043457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3455977439880371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11840489506721497},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2885639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571163.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a3721e031f7445a9971c921100126a4","is_oa":true,"landing_page_url":"https://doaj.org/article/7a3721e031f7445a9971c921100126a4","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 7, Pp 4275-4283 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2885639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571163.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904910159.pdf","grobid_xml":"https://content.openalex.org/works/W2904910159.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2534299759","https://openalex.org/W2592929672","https://openalex.org/W2601707599","https://openalex.org/W2741015411","https://openalex.org/W2755930428","https://openalex.org/W2759483166","https://openalex.org/W2780099243","https://openalex.org/W2789275762","https://openalex.org/W2789367970","https://openalex.org/W2789863594","https://openalex.org/W2790118787","https://openalex.org/W2793096175","https://openalex.org/W2795779151","https://openalex.org/W2799476711","https://openalex.org/W2801540580","https://openalex.org/W2802869079","https://openalex.org/W2803731655","https://openalex.org/W2806066966","https://openalex.org/W2806796234","https://openalex.org/W2964171289"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2795259429"],"abstract_inverted_index":{"Deep":[0],"learning":[1,29],"techniques":[2,10],"have":[3],"gained":[4],"significant":[5],"importance":[6],"among":[7],"artificial":[8],"intelligence":[9],"for":[11,31,219],"any":[12,32],"computing":[13],"applications.":[14,34],"Among":[15],"them,":[16],"deep":[17,28],"convolutional":[18],"neural":[19],"networks":[20,30],"(DCNNs)":[21],"is":[22,37,46,56,69,114,148,161,176,188],"one":[23],"of":[24,61,76,87,91,97,121,136,167,185,193],"the":[25,41,53,59,100,111,118,129,134,144,152,165,173,180,191,220],"widely":[26],"used":[27,162,209],"practical":[33],"The":[35,65,139,183,213],"accuracy":[36,55],"generally":[38],"high":[39,54],"and":[40,80,83,94],"manual":[42],"feature":[43],"extraction":[44],"process":[45,142,160],"not":[47],"necessary":[48],"in":[49,67,99,128,143,151,179,190,210],"these":[50],"networks.":[51],"However,":[52],"achieved":[57],"at":[58],"cost":[60],"huge":[62],"computational":[63,119,174],"complexity.":[64],"complexity":[66,120,175],"DCNN":[68,187],"mainly":[70],"due":[71],"to:":[72],"1)":[73],"increased":[74],"number":[75,135],"layers":[77,82],"between":[78],"input":[79],"output":[81],"2)":[84],"two":[85],"set":[86,90,96],"parameters":[88],"(one":[89],"filter":[92],"coefficients":[93],"another":[95],"weights)":[98],"fully":[101,145,169],"connected":[102,146,170],"network":[103],"need":[104],"to":[105,116,132,163],"be":[106],"adjusted.":[107],"In":[108],"this":[109,168,211],"paper,":[110],"second":[112],"aspect":[113],"targeted":[115],"reduce":[117,133],"conventional":[122],"DCNN.":[123],"Suitable":[124],"modifications":[125],"are":[126,208],"performed":[127],"training":[130],"algorithm":[131],"parameter":[137],"adjustments.":[138],"weight":[140],"adjustment":[141],"layer":[147],"completely":[149],"eliminated":[150],"proposed":[153,181,221],"modified":[154,186],"approach.":[155,182,222],"Instead,":[156],"a":[157],"simple":[158],"assignment":[159],"find":[164],"weights":[166],"layer.":[171],"Thus,":[172],"significantly":[177],"reduced":[178],"application":[184],"explored":[189],"context":[192],"magnetic":[194],"resonance":[195],"brain":[196,201],"tumor":[197,202],"image":[198],"classification.":[199],"Abnormal":[200],"images":[203],"from":[204],"four":[205],"different":[206],"classes":[207],"paper.":[212],"experimental":[214],"results":[215,218],"show":[216],"promising":[217]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":20}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}