{"id":"https://openalex.org/W4366374501","doi":"https://doi.org/10.1109/inocon57975.2023.10101238","title":"Deep Convolutional Neural Network-based Automatic Detection of Brain Tumour","display_name":"Deep Convolutional Neural Network-based Automatic Detection of Brain Tumour","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4366374501","doi":"https://doi.org/10.1109/inocon57975.2023.10101238"},"language":"en","primary_location":{"id":"doi:10.1109/inocon57975.2023.10101238","doi":"https://doi.org/10.1109/inocon57975.2023.10101238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inocon57975.2023.10101238","pdf_url":null,"source":{"id":"https://openalex.org/S4306498675","display_name":"International Conference for Innovation in Technology (INOCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 2nd International Conference for Innovation in Technology (INOCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Indraneel Paul","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Indraneel Paul","raw_affiliation_strings":["National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058234884","display_name":"Adyasha Sahu","orcid":"https://orcid.org/0000-0003-0871-6962","observed_orcids":["https://orcid.org/0000-0003-0871-6962"]},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Adyasha Sahu","raw_affiliation_strings":["National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pradeep Kumar Das","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradeep Kumar Das","raw_affiliation_strings":["Vellore Institute of Technology,School of Electronics Engineering (SENSE),Vellore,Tamil Nadu,India,632014"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Electronics Engineering (SENSE),Vellore,Tamil Nadu,India,632014","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037663112","display_name":"Sukadev Meher","orcid":"https://orcid.org/0000-0003-4397-3139","observed_orcids":["https://orcid.org/0000-0003-4397-3139"]},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukadev Meher","raw_affiliation_strings":["National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela,Dept. of Electronics and Communication Engineering,Rourkela,India,769008","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4949,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89416143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":9.999999747378752e-05,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brain-tumor-classification","display_name":"brain tumor classification","score":0.9300000071525574},{"id":"https://openalex.org/keywords/brain-mri","display_name":"brain MRI","score":0.6869999766349792},{"id":"https://openalex.org/keywords/small-datasets","display_name":"small datasets","score":0.597000002861023},{"id":"https://openalex.org/keywords/dropout","display_name":"dropout","score":0.6370000243186951},{"id":"https://openalex.org/keywords/dropblock","display_name":"DropBlock","score":0.8420000076293945},{"id":"https://openalex.org/keywords/randaugment","display_name":"RandAugment","score":0.7760000228881836},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.875},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.8040000200271606},{"id":"https://openalex.org/keywords/overfitting-reduction","display_name":"overfitting reduction","score":0.6809999942779541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802717924118042},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7720494866371155},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.7553566694259644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088967561721802},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6553030610084534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.60127854347229},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5152819156646729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103713870048523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48575881123542786},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4661703407764435},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4191807210445404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41671204566955566},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3004103899002075},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/inocon57975.2023.10101238","doi":"https://doi.org/10.1109/inocon57975.2023.10101238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inocon57975.2023.10101238","pdf_url":null,"source":{"id":"https://openalex.org/S4306498675","display_name":"International Conference for Innovation in Technology (INOCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 2nd International Conference for Innovation in Technology (INOCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6240000128746033}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2734619798","https://openalex.org/W2799926361","https://openalex.org/W2949736877","https://openalex.org/W2963691377","https://openalex.org/W2993466051","https://openalex.org/W2996619397","https://openalex.org/W3016265891","https://openalex.org/W3084741591","https://openalex.org/W3128797821","https://openalex.org/W3137244318","https://openalex.org/W3138118097","https://openalex.org/W3163071387","https://openalex.org/W3170241800","https://openalex.org/W3197544193","https://openalex.org/W3202024712","https://openalex.org/W3211740276","https://openalex.org/W4210403414","https://openalex.org/W4211216283","https://openalex.org/W4220660634","https://openalex.org/W4289656111","https://openalex.org/W4307217876","https://openalex.org/W4307844358","https://openalex.org/W4308095601","https://openalex.org/W4308742981","https://openalex.org/W4310479287","https://openalex.org/W4387422696","https://openalex.org/W6888486279"],"related_works":["https://openalex.org/W4401990497","https://openalex.org/W4224291389","https://openalex.org/W3168680764","https://openalex.org/W7171302775","https://openalex.org/W4401321927","https://openalex.org/W4322744978","https://openalex.org/W7131863804","https://openalex.org/W4210668940","https://openalex.org/W7170894680","https://openalex.org/W7217623744"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"(DCNNs)":[4],"have":[5,26],"been":[6],"extensively":[7],"studied":[8],"for":[9,67],"different":[10],"types":[11],"of":[12,19,24,39,56,110,133,136,147],"detection":[13],"and":[14,41,91,119,142],"classification":[15,141],"in":[16,76,139],"the":[17,44,54,83,102,108,131,140,145],"field":[18],"biomedical":[20],"image":[21],"processing.":[22],"Many":[23],"them":[25],"produced":[27],"results":[28,49],"that":[29],"are":[30],"on":[31,71,150],"par":[32],"with":[33,88],"or":[34],"even":[35],"better":[36],"than":[37],"those":[38],"radiologists":[40],"neurologists.":[42],"But,":[43],"challenge":[45],"to":[46,93,106,121,129,143],"get":[47],"good":[48],"from":[50],"such":[51],"DCNNs":[52],"is":[53,74,85,104,127],"requirement":[55],"large":[57],"dataset.":[58,112],"In":[59],"this":[60,77],"paper,":[61],"a":[62],"unique":[63],"single-model":[64],"based":[65],"approach":[66],"classifying":[68],"brain":[69],"tumours":[70],"small":[72,111],"dataset":[73],"presented":[75],"study.":[78],"A":[79],"modified":[80],"DCNN":[81],"called":[82,101],"RegNetY-3.2G":[84],"used,":[86],"integrated":[87],"regularization":[89],"DropOut":[90],"DropBlock":[92],"prevent":[94],"over-fitting.":[95],"Furthermore,":[96],"an":[97],"improved":[98],"augmentation":[99],"technique":[100],"RandAugment":[103],"used":[105,128],"lessen":[107,144],"problem":[109,132],"Lastly,":[113],"MWNL":[114],"(Multi-Weighted":[115],"New":[116],"Loss)":[117],"method":[118],"end":[120,122],"CLS":[123],"(cumulative":[124],"learning":[125],"strategy)":[126],"address":[130],"unequal":[134],"size":[135],"sample,":[137],"complexity":[138],"effect":[146],"aberrant":[148],"samples":[149],"training.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-04-21T00:00:00"}