{"id":"https://openalex.org/W2947735999","doi":"https://doi.org/10.1109/access.2019.2919122","title":"Multi-Classification of Brain Tumor Images Using Deep Neural Network","display_name":"Multi-Classification of Brain Tumor Images Using Deep Neural Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947735999","doi":"https://doi.org/10.1109/access.2019.2919122","mag":"2947735999"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2919122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2919122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08723045.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/ielx7/6287639/8600701/08723045.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009111131","display_name":"Hossam H. Sultan","orcid":"https://orcid.org/0000-0002-6958-7503"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hossam H. Sultan","raw_affiliation_strings":["Department of Biomedical Engineering, Helwan University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-6958-7503","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061751653","display_name":"Nancy M. Salem","orcid":"https://orcid.org/0000-0001-7093-2944"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nancy M. Salem","raw_affiliation_strings":["Department of Biomedical Engineering, Helwan University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-7093-2944","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047871182","display_name":"Walid Al\u2010Atabany","orcid":"https://orcid.org/0000-0002-8141-2511"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Walid Al-Atabany","raw_affiliation_strings":["Department of Biomedical Engineering, Helwan University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8141-2511","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84058292"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":28.9372,"has_fulltext":true,"cited_by_count":746,"citation_normalized_percentile":{"value":0.99800484,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"69215","last_page":"69225"},"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/T10862","display_name":"AI in cancer detection","score":0.9926999807357788,"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":0.9922999739646912,"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":0.7223929762840271},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6268547773361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6248892545700073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4897196590900421},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4847238063812256},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.4584692120552063},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22436830401420593},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07677087187767029},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07426393032073975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223929762840271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6268547773361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248892545700073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4897196590900421},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4847238063812256},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.4584692120552063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22436830401420593},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07677087187767029},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07426393032073975}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2919122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2919122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08723045.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:1a3003e9872f4051b67fd8e71a5cc713","is_oa":true,"landing_page_url":"https://doaj.org/article/1a3003e9872f4051b67fd8e71a5cc713","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 69215-69225 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2919122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2919122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08723045.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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947735999.pdf","grobid_xml":"https://content.openalex.org/works/W2947735999.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W4952878","https://openalex.org/W114517082","https://openalex.org/W1523493493","https://openalex.org/W1598068104","https://openalex.org/W1601795611","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1983989471","https://openalex.org/W2017896827","https://openalex.org/W2021824352","https://openalex.org/W2038005290","https://openalex.org/W2056753605","https://openalex.org/W2074772891","https://openalex.org/W2083927153","https://openalex.org/W2087016914","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2116531017","https://openalex.org/W2141125852","https://openalex.org/W2162859851","https://openalex.org/W2163605009","https://openalex.org/W2168893862","https://openalex.org/W2182098131","https://openalex.org/W2366536035","https://openalex.org/W2470130773","https://openalex.org/W2592929672","https://openalex.org/W2596470483","https://openalex.org/W2897188827","https://openalex.org/W2899210094","https://openalex.org/W2919115771","https://openalex.org/W2963108767","https://openalex.org/W4205947740","https://openalex.org/W4242045057","https://openalex.org/W4244344354","https://openalex.org/W4255289481","https://openalex.org/W6631319189","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6720260345","https://openalex.org/W6735074390","https://openalex.org/W6756211101"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Brain":[0],"tumor":[1,89,181],"classification":[2,67],"is":[3,32,53,83],"a":[4,13,54,62,74,79,131,154],"crucial":[5],"task":[6],"to":[7,17,26,36,85],"evaluate":[8],"the":[9,42,112,143,158,168,174,177],"tumors":[10,100],"and":[11,41,59,68,104,120,127,135,145,164],"make":[12],"treatment":[14],"decision":[15],"according":[16],"their":[18],"classes.":[19],"There":[20],"are":[21],"many":[22],"imaging":[23],"techniques":[24],"used":[25,34],"detect":[27],"brain":[28,88,180],"tumors.":[29],"However,":[30],"MRI":[31],"commonly":[33],"due":[35],"its":[37],"superior":[38],"image":[39],"quality":[40],"fact":[43],"of":[44,56,133,162,176],"relying":[45],"on":[46,78,138],"no":[47],"ionizing":[48],"radiation.":[49],"Deep":[50],"learning":[51,58],"(DL)":[52],"subfield":[55],"machine":[57],"recently":[60],"showed":[61],"remarkable":[63],"performance,":[64],"especially":[65],"in":[66],"segmentation":[69],"problems.":[70],"In":[71],"this":[72],"paper,":[73],"DL":[75],"model":[76,178],"based":[77],"convolutional":[80],"neural":[81],"network":[82,151],"proposed":[84,150],"classify":[86],"different":[87],"types":[90],"using":[91],"two":[92,169],"publicly":[93],"available":[94],"datasets.":[95],"The":[96,107,123,149,171],"former":[97],"one":[98,109],"classifies":[99],"into":[101],"(meningioma,":[102],"glioma,":[103],"pituitary":[105],"tumor).":[106],"other":[108],"differentiates":[110],"between":[111],"three":[113],"glioma":[114],"grades":[115],"(Grade":[116],"II,":[117],"Grade":[118,121],"III,":[119],"IV).":[122],"datasets":[124],"include":[125],"233":[126],"73":[128],"patients":[129],"with":[130,157],"total":[132],"3064":[134],"516":[136],"images":[137,141],"T1-weighted":[139],"contrast-enhanced":[140],"for":[142,167,179],"first":[144],"second":[146],"datasets,":[147],"respectively.":[148],"structure":[152],"achieves":[153],"significant":[155],"performance":[156],"best":[159],"overall":[160],"accuracy":[161],"96.13%":[163],"98.7%,":[165],"respectively,":[166],"studies.":[170],"results":[172],"indicate":[173],"ability":[175],"multi-classification":[182],"purposes.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":43},{"year":2025,"cited_by_count":125},{"year":2024,"cited_by_count":141},{"year":2023,"cited_by_count":163},{"year":2022,"cited_by_count":139},{"year":2021,"cited_by_count":93},{"year":2020,"cited_by_count":36},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
