{"id":"https://openalex.org/W4214543837","doi":"https://doi.org/10.1145/3488933.3488945","title":"Non-contrast CT Image Automatic Diagnosis of Large Hemispheric Infarction in Hyper-acute Phase Based on Convolutional Neural Network","display_name":"Non-contrast CT Image Automatic Diagnosis of Large Hemispheric Infarction in Hyper-acute Phase Based on Convolutional Neural Network","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214543837","doi":"https://doi.org/10.1145/3488933.3488945"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488945","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488933.3488945","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488933.3488945","source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3488933.3488945","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005209351","display_name":"Chengjian Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengjian Huang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343854","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6406-4896"},"institutions":[{"id":"https://openalex.org/I4210097945","display_name":"Linyi People's Hospital","ror":"https://ror.org/011r8ce56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["Linyi People's Hospital,Department of Radiology, China"],"affiliations":[{"raw_affiliation_string":"Linyi People's Hospital,Department of Radiology, China","institution_ids":["https://openalex.org/I4210097945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046751201","display_name":"Haizhou Sun","orcid":"https://orcid.org/0000-0003-0028-5002"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Sun","raw_affiliation_strings":["The College of IoT Engineering,Hohai University, china"],"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering,Hohai University, china","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058927487","display_name":"Qingmao Hu","orcid":"https://orcid.org/0000-0002-2465-0556"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmao Hu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005209351"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57807309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9997000098228455,"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":0.9997000098228455,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886999726295471,"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/medicine","display_name":"Medicine","score":0.6435535550117493},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5948861837387085},{"id":"https://openalex.org/keywords/infarction","display_name":"Infarction","score":0.5251352787017822},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.46953025460243225},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.46435287594795227},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.42791447043418884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4077640175819397},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.22995424270629883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2085803747177124},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.17550882697105408},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17541995644569397}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6435535550117493},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5948861837387085},{"id":"https://openalex.org/C2777798775","wikidata":"https://www.wikidata.org/wiki/Q207550","display_name":"Infarction","level":3,"score":0.5251352787017822},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.46953025460243225},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.46435287594795227},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.42791447043418884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4077640175819397},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.22995424270629883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2085803747177124},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.17550882697105408},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17541995644569397},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3488945","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488933.3488945","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488933.3488945","source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3488933.3488945","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488933.3488945","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488933.3488945","source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214543837.pdf","grobid_xml":"https://content.openalex.org/works/W4214543837.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2082315120","https://openalex.org/W2099457690","https://openalex.org/W2626711511","https://openalex.org/W2961041544","https://openalex.org/W2963091558","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W3003775010","https://openalex.org/W4249142012","https://openalex.org/W6600566992","https://openalex.org/W6606016086","https://openalex.org/W6679338098"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W4400094315","https://openalex.org/W4293226380","https://openalex.org/W2970784617","https://openalex.org/W2126639667","https://openalex.org/W2217963778","https://openalex.org/W2474554762","https://openalex.org/W2129882004","https://openalex.org/W4303685026","https://openalex.org/W2744023513"],"abstract_inverted_index":{"Hyper-acute":[0],"large":[1],"hemispheric":[2],"infarction":[3,38],"(LHI)":[4],"is":[5,50],"a":[6],"serious":[7],"type":[8],"of":[9,35,99,102,105,114],"cerebral":[10,37],"infarction,":[11],"characterized":[12],"by":[13],"sudden":[14],"onset":[15],"and":[16,22,30,39,57,67,77,107,138],"rapid":[17],"worsening.":[18],"Without":[19],"prompt":[20],"diagnosis":[21,34],"treatment,":[23],"it":[24],"can":[25],"severely":[26],"endanger":[27],"patient":[28,120],"health":[29],"life.":[31],"Therefore,":[32],"early":[33],"hyper-acute":[36,82,135],"active":[40],"treatment":[41,147],"are":[42],"very":[43],"important.":[44],"Clinically,":[45],"non-contrast":[46],"computed":[47],"tomography":[48],"(NCCT)":[49],"the":[51,81,110,134],"preferred":[52],"modality":[53],"to":[54,95,130,140],"quickly":[55,137],"diagnose":[56],"evaluate":[58],"suspected":[59],"stroke":[60],"patients.":[61],"In":[62],"this":[63],"work,":[64],"we":[65],"proposed":[66,123],"evaluated":[68],"an":[69,97],"automatic":[70],"deep":[71],"learning":[72],"method":[73,88,124],"for":[74,148],"segmenting":[75],"ischemia":[76],"recognizing":[78],"LHI":[79,118,132],"in":[80,116,133],"phase":[83,136],"from":[84],"NCCT":[85,93],"images.":[86],"The":[87,122],"was":[89],"validated":[90],"against":[91],"135":[92],"volumes":[94],"attain":[96],"accuracy":[98],"91.67%,":[100,106],"precision":[101],"90.95%,":[103],"recall":[104],"area":[108],"under":[109],"receiver":[111],"operating":[112],"curve":[113],"0.89":[115],"detecting":[117],"at":[119],"level.":[121],"could":[125],"be":[126],"potentially":[127],"employed":[128],"clinically":[129],"identify":[131],"accurately":[139],"aid":[141],"decision":[142],"making":[143],"on":[144],"effective":[145],"clinical":[146],"ischemic":[149],"stroke.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}