{"id":"https://openalex.org/W4401018573","doi":"https://doi.org/10.1109/incet61516.2024.10593220","title":"Brain Stroke Prediction from Computed Tomography Images Using Efficientnet-B0","display_name":"Brain Stroke Prediction from Computed Tomography Images Using Efficientnet-B0","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401018573","doi":"https://doi.org/10.1109/incet61516.2024.10593220"},"language":"en","primary_location":{"id":"doi:10.1109/incet61516.2024.10593220","doi":"https://doi.org/10.1109/incet61516.2024.10593220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/incet61516.2024.10593220","pdf_url":null,"source":{"id":"https://openalex.org/S4306498759","display_name":"International Conference for Emerging Technology (INCET)","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":"2024 5th International Conference for Emerging Technology (INCET)","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":"https://openalex.org/A5058323761","display_name":"Shikha Prasher","orcid":"https://orcid.org/0000-0002-8732-0239","observed_orcids":["https://orcid.org/0000-0002-8732-0239"]},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikha Prasher","raw_affiliation_strings":["Chitkara University Institute of Engineering &#x0026; Technology, Chitkara University,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering &#x0026; Technology, Chitkara University,Punjab,India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011705709","display_name":"Leema Nelson","orcid":"https://orcid.org/0000-0003-3959-5390","observed_orcids":["https://orcid.org/0000-0003-3959-5390"]},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Leema Nelson","raw_affiliation_strings":["Chitkara University Institute of Engineering &#x0026; Technology, Chitkara University,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering &#x0026; Technology, Chitkara University,Punjab,India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110359672","display_name":"S. Gomathi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Gomathi","raw_affiliation_strings":["Saveetha School of Engineering,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saveetha School of Engineering,Chennai","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1584,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85617863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.36550000309944153,"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":0.36550000309944153,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.26339998841285706,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.17919999361038208,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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-stroke-prediction","display_name":"brain stroke prediction","score":0.9980000257492065},{"id":"https://openalex.org/keywords/ct-images","display_name":"CT images","score":0.9279999732971191},{"id":"https://openalex.org/keywords/efficientnet-b0","display_name":"EfficientNetB0","score":0.9909999966621399},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9480000138282776},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.6710000038146973},{"id":"https://openalex.org/keywords/automated-stroke-detection","display_name":"automated stroke detection","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.7549428939819336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4604535698890686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3905804753303528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3681585192680359},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2712377607822418},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20513397455215454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/incet61516.2024.10593220","doi":"https://doi.org/10.1109/incet61516.2024.10593220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/incet61516.2024.10593220","pdf_url":null,"source":{"id":"https://openalex.org/S4306498759","display_name":"International Conference for Emerging Technology (INCET)","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":"2024 5th International Conference for Emerging Technology (INCET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9391000270843506,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2783677152","https://openalex.org/W2953767750","https://openalex.org/W3046111136","https://openalex.org/W4200084053","https://openalex.org/W4220875899","https://openalex.org/W4220985814","https://openalex.org/W4284680265","https://openalex.org/W4285275086","https://openalex.org/W4289313511","https://openalex.org/W4311319151","https://openalex.org/W4312784337","https://openalex.org/W4317564965","https://openalex.org/W4317659206"],"related_works":["https://openalex.org/W4387712011","https://openalex.org/W4317564965","https://openalex.org/W4313289413","https://openalex.org/W7164899387","https://openalex.org/W4366978819","https://openalex.org/W3041993914","https://openalex.org/W4401880035","https://openalex.org/W4403913069","https://openalex.org/W4409359618","https://openalex.org/W7161551988"],"abstract_inverted_index":{"Brain":[0],"stroke":[1,49,141,182],"disease":[2],"is":[3,57,104],"the":[4,75,107,146,174],"second-most":[5],"common":[6],"cause":[7,18],"of":[8,15,19,78,168,180],"mortality":[9],"and":[10,32,36,118,132],"suffering":[11],"worldwide":[12],"in":[13,44,81,98,111],"terms":[14],"key":[16],"international":[17],"death":[20],"according":[21],"to":[22,94,113],"World":[23],"Health":[24],"Organization":[25],"(WHO).":[26],"Deep":[27],"learning":[28,137,153],"(DL)":[29],"provides":[30],"fast":[31],"accurate":[33],"prediction":[34,115],"results,":[35],"it":[37,103],"has":[38],"developed":[39],"into":[40,159],"a":[41,58,99,135,151,178],"potent":[42],"tool":[43],"healthcare":[45],"environments":[46],"for":[47,61,71,139,173],"providing":[48],"patients":[50],"with":[51,91,164],"individualized":[52],"clinical":[53],"care.":[54],"Although":[55],"there":[56],"real":[59],"need":[60],"research,":[62],"some":[63],"research":[64],"areas":[65],"are":[66,87,129,171],"not":[67],"receiving":[68],"enough":[69],"attention":[70],"scientific":[72],"inquiry":[73],"despite":[74],"increasing":[76],"use":[77],"DL":[79,84],"techniques":[80],"medical":[82],"treatments.":[83],"enabled":[85],"methods":[86],"frequently":[88],"used":[89],"together":[90],"artificial":[92],"intelligence":[93],"automatically":[95],"identify":[96],"strokes":[97],"non-intrusive":[100],"method.":[101],"But":[102],"apparent":[105],"from":[106,177],"study's":[108],"results":[109],"that":[110,155],"order":[112],"increase":[114],"performance,":[116],"training":[117],"classifying":[119],"quality":[120],"must":[121],"be":[122],"improved.":[123],"2515":[124],"brain":[125,140,181],"CT":[126],"scan":[127],"images":[128],"trained,":[130],"validated,":[131],"tested":[133],"using":[134],"deep":[136,152],"method":[138],"prediction.":[142],"In":[143],"this":[144],"study,":[145],"EfficientN":[147],"etBO":[148],"CNN":[149,175],"model,":[150],"framework":[154],"takes":[156],"sigmoid":[157],"classification":[158],"consideration.":[160],"The":[161],"best":[162],"models":[163],"an":[165],"accuracy":[166],"rate":[167],"98.72":[169],"%":[170],"selected":[172],"model":[176],"variety":[179],"estimation":[183],"techniques.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-07-27T00:00:00"}
