{"id":"https://openalex.org/W3012261717","doi":"https://doi.org/10.1117/12.2549164","title":"Automatic classification of carotid ultrasound images based on convolutional neural network","display_name":"Automatic classification of carotid ultrasound images based on convolutional neural network","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3012261717","doi":"https://doi.org/10.1117/12.2549164","mag":"3012261717"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549164","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549164","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","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/A5101073473","display_name":"Yujiao Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiao Xia","raw_affiliation_strings":["Huazhong Univ. of Science and Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Univ. of Science and Technology (China)","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103431239","display_name":"Xinyao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Cheng","raw_affiliation_strings":["Wuhan Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Univ. (China)","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042992199","display_name":"Mingyue Ding","orcid":"https://orcid.org/0000-0003-3933-1205"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Ding","raw_affiliation_strings":["Huazhong Univ. of Science and Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Univ. of Science and Technology (China)","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58867807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9970999956130981,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7680140733718872},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.7465118169784546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556805968284607},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.611737847328186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5368452668190002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.483610063791275},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4760432243347168},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4156607389450073},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3762222230434418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32581019401550293},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3007694482803345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20833411812782288}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7680140733718872},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.7465118169784546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556805968284607},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.611737847328186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5368452668190002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.483610063791275},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4760432243347168},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4156607389450073},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3762222230434418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32581019401550293},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3007694482803345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20833411812782288},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549164","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549164","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Ultrasound":[0],"imaging":[1],"has":[2,30,58],"become":[3],"a":[4],"routine":[5],"means":[6],"of":[7,12,27,37,43,104,111,118,130,171,176,182,198],"diagnosing":[8],"atherosclerosis.":[9,200],"The":[10,159],"classification":[11,75,117,166,181],"carotid":[13,85,98,183,199],"ultrasound":[14,86,93,99,184],"images":[15,87,100,185],"and":[16,40,45,65,92,96,107,123,134,152,173],"detection":[17],"for":[18,24,34,54,83,115,192],"the":[19,25,55,84,116,128,179,196],"plaques":[20],"automatically":[21],"are":[22],"critical":[23],"diagnosis":[26,197],"atherosclerosis,":[28],"which":[29,57],"important":[31],"clinical":[32,193],"significance":[33],"further":[35],"analysis":[36],"plaque":[38,124],"vulnerability":[39],"risk":[41],"assessment":[42],"cardiovascular":[44],"cerebrovascular":[46],"events.":[47],"At":[48],"present,":[49],"manual":[50],"measurement":[51,64],"is":[52,189],"used":[53,114,137],"classification,":[56],"obvious":[59],"disadvantages":[60],"such":[61],"as":[62],"inaccurate":[63],"operator":[66],"variability.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,136,144],"proposed":[72],"an":[73],"automatic":[74,180],"method":[76],"based":[77,186],"on":[78,187],"convolutional":[79],"neural":[80],"network":[81],"(CNN)":[82],"from":[88,101],"different":[89,139,150],"research":[90],"institutions":[91],"machines.":[94],"820":[95],"830":[97],"Zhongnan":[102],"Hospital":[103],"Wuhan":[105],"University":[106],"Robarts":[108],"Research":[109],"Institute":[110],"Canada":[112],"were":[113],"normal,":[119],"thickened":[120],"vessel":[121],"wall":[122],"images.":[125],"To":[126],"solve":[127],"problem":[129],"uneven":[131],"image":[132,140],"quality":[133],"size,":[135],"six":[138],"normalization":[141],"schemes.":[142],"Furthermore,":[143],"designed":[145],"five":[146],"CNNs":[147],"with":[148,155,168],"slightly":[149],"structures":[151],"compared":[153],"them":[154],"texture-based":[156],"features":[157],"classifications.":[158],"CNN":[160,188],"results":[161],"showed":[162],"significant":[163],"superiority":[164],"in":[165,195],"performance":[167],"total":[169],"accuracy":[170],"90.30%":[172],"recall":[174],"rate":[175],"89.70%,":[177],"indicating":[178],"potentially":[190],"useful":[191],"application":[194]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}