{"id":"https://openalex.org/W4385482596","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191320","title":"Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning","display_name":"Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482596","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191320"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5059650150","display_name":"Lu\u00eds Fabr\u00edcio de Freitas Souza","orcid":"https://orcid.org/0000-0002-3156-1359"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luis Fabricio De Freitas Souza","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092581265","display_name":"Joel Ramos Michaliszen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joel R. Michaliszen Junior","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013196047","display_name":"Adriell Gomes Marques","orcid":"https://orcid.org/0000-0001-6274-1961"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adriell Gomes Marques","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092581266","display_name":"Yasmin O. Adelino Rodrigues","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasmin Os\u00f3rio Adelino Rodrigues","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029829942","display_name":"Guilherme Freire Brilhante Severiano","orcid":"https://orcid.org/0000-0002-7109-7220"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guilherme Freire Brilhante Severiano","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051479785","display_name":"Jos\u00e9 Jerovane da Costa Nascimento","orcid":"https://orcid.org/0000-0002-7361-4316"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Jerovane Da Costa Nascimento","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049651824","display_name":"Pedro P. Rebou\u00e7as Filho","orcid":"https://orcid.org/0000-0002-1878-5489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro P. Rebou\u00e7as Filho","raw_affiliation_strings":["Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)"],"affiliations":[{"raw_affiliation_string":"Laboratório de Processamento de Imagens e Simulação Computacional (LAPISCO)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059650150"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3279,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81607197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9970999956130981,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9957000017166138,"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/segmentation","display_name":"Segmentation","score":0.7593672871589661},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.7336941361427307},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7006080150604248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762195229530334},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6487541198730469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6469646096229553},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5414185523986816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47413039207458496},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4181517958641052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38346385955810547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3135334849357605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10159561038017273}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7593672871589661},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.7336941361427307},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7006080150604248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762195229530334},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6487541198730469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6469646096229553},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5414185523986816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47413039207458496},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4181517958641052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38346385955810547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3135334849357605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10159561038017273},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1909740415","https://openalex.org/W1998865404","https://openalex.org/W2052996653","https://openalex.org/W2617083732","https://openalex.org/W2884561390","https://openalex.org/W2888989106","https://openalex.org/W2920221346","https://openalex.org/W2999978966","https://openalex.org/W3017125987","https://openalex.org/W3097553233","https://openalex.org/W3138170009","https://openalex.org/W3200960388","https://openalex.org/W3211299536","https://openalex.org/W4294361585","https://openalex.org/W4306255260","https://openalex.org/W4312278475","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Different":[0],"pathologies":[1],"can":[2,11],"cause":[3,12],"different":[4],"public":[5],"health":[6],"problems":[7],"and":[8,47,61,114,219,225],"diseases":[9],"that":[10],"the":[13,59,80,86,100,131,137,141,152,156,159,162,168,174,187,197,212,223],"death":[14],"of":[15,17,27,43,82,88,97,102,122,143,158,161,189,192,227],"millions":[16,26],"people.":[18],"Hemorrhagic":[19],"stroke":[20,106,118,133,164,169,229],"is":[21,126],"a":[22,75],"silent":[23],"disease":[24],"affecting":[25],"people":[28],"worldwide,":[29],"causing":[30,155],"disorders":[31],"and,":[32],"in":[33,58,62,91,99,205,211,222,231],"most":[34],"cases,":[35],"being":[36],"fatal.":[37],"CAD":[38],"systems":[39,41],"are":[40],"capable":[42],"aiding":[44],"medical":[45,67],"diagnosis,":[46],"studies":[48],"based":[49,78,127],"on":[50,79,128],"computed":[51,232],"tomography":[52,233],"images":[53,191],"have":[54],"been":[55],"increasingly":[56],"widespread":[57],"literature":[60],"intelligent":[63],"applications":[64],"aimed":[65],"at":[66],"diagnosis":[68],"by":[69,120,136],"images.":[70,234],"The":[71,124,177,199],"proposed":[72],"study":[73],"brings":[74],"new":[76,105,200],"approach":[77],"use":[81],"deep":[83],"learning":[84],"for":[85,146,186],"detection":[87,101,224],"hemorrhagic":[89,163,194,228],"stroke,":[90],"which":[92],"it":[93],"obtained":[94,180],"an":[95,203],"accuracy":[96,185],"99.37%":[98],"stroke.":[103],"A":[104],"segmentation":[107,157,188,226],"method":[108,125,179,201],"called":[109],"(Divisible":[110],"Cell-Segmentation)":[111],"was":[112],"developed":[113],"used":[115],"to":[116],"delineate":[117],"borders":[119],"means":[121],"fine-tuning.":[123],"initialization":[129],"within":[130,151],"hem-orrhagic":[132],"previously":[134],"detected":[135,153],"Detectron2":[138],"network":[139],"using":[140],"concept":[142],"splittable":[144],"cells":[145],"segmentation,":[147],"where":[148,170],"they":[149,171],"multiply":[150],"image,":[154],"edge":[160],"when":[165],"traveling":[166],"through":[167],"divide":[172],"into":[173],"two-dimensional":[175],"region.":[176],"New":[178],"excellent":[181],"results":[182],"with":[183],"99.82%":[184],"CT":[190],"cerebral":[193],"strokes,":[195],"surpassing":[196,208],"state-of-the-art.":[198],"presented":[202],"optimization":[204],"processing":[206],"time,":[207],"works":[209],"found":[210],"literature,":[213],"as":[214,216],"well":[215],"greater":[217],"efficiency":[218],"computational":[220],"cost":[221],"edges":[230]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}