{"id":"https://openalex.org/W4200100850","doi":"https://doi.org/10.1080/09540091.2021.2015748","title":"Automatic classification method of liver ultrasound standard plane images using pre-trained convolutional neural network","display_name":"Automatic classification method of liver ultrasound standard plane images using pre-trained convolutional neural network","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4200100850","doi":"https://doi.org/10.1080/09540091.2021.2015748"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2021.2015748","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2015748","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1080/09540091.2021.2015748","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011348984","display_name":"Jiaxiang Wu","orcid":"https://orcid.org/0000-0001-9132-5625"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Wu","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I169019527"]},{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074798320","display_name":"Pan Zeng","orcid":"https://orcid.org/0000-0002-1174-9899"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zeng","raw_affiliation_strings":["College of Medicine, Huaqiao University, Quanzhou, People\u2019s Republic of China","College of Medicine, Huaqiao University, Quanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine, Huaqiao University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"College of Medicine, Huaqiao University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039456723","display_name":"Peizhong Liu","orcid":"https://orcid.org/0000-0001-8785-0195"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peizhong Liu","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","College of Medicine, Huaqiao University, Quanzhou, People\u2019s Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China","College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","College of Medicine, Huaqiao University, Quanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"College of Medicine, Huaqiao University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I169019527"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I169019527"]},{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"College of Medicine, Huaqiao University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110575910","display_name":"Guorong Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]},{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]},{"id":"https://openalex.org/I4210134617","display_name":"Second Affiliated Hospital of Fujian Medical University","ror":"https://ror.org/03wnxd135","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Lv","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","Department of Ultrasound, The Second A\ufb03liated Hospital of Fujian Medical University, Quanzhou, People\u2019s Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, People's Republic of China","School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Department of Ultrasound, The Second A\ufb03liated Hospital of Fujian Medical University, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210134617","https://openalex.org/I129708740"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I169019527"]},{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I4210134617","https://openalex.org/I129708740"]},{"raw_affiliation_string":"School of Medicine, Quanzhou Medical College, Quanzhou, People's Republic of China","institution_ids":["https://openalex.org/I169019527"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039456723"],"corresponding_institution_ids":["https://openalex.org/I119045251","https://openalex.org/I169019527"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":2.0075,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.86920505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"975","last_page":"989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10862","display_name":"AI in cancer detection","score":0.9785000085830688,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.8315635919570923},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8307819366455078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7225583791732788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6327784657478333},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4956306219100952},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4494183659553528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315635919570923},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8307819366455078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7225583791732788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6327784657478333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4956306219100952},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4494183659553528}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2021.2015748","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2015748","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:18ddaa5c551e495b938edf3fe9267bf4","is_oa":false,"landing_page_url":"https://doaj.org/article/18ddaa5c551e495b938edf3fe9267bf4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 34, Iss 1, Pp 975-989 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2021.2015748","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2015748","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W22026586","https://openalex.org/W133203765","https://openalex.org/W190746659","https://openalex.org/W2006727804","https://openalex.org/W2026514485","https://openalex.org/W2061715187","https://openalex.org/W2063540402","https://openalex.org/W2074772891","https://openalex.org/W2081410396","https://openalex.org/W2082941960","https://openalex.org/W2120023383","https://openalex.org/W2126918628","https://openalex.org/W2132061786","https://openalex.org/W2145118053","https://openalex.org/W2161969291","https://openalex.org/W2191637929","https://openalex.org/W2253429366","https://openalex.org/W2288062769","https://openalex.org/W2345010043","https://openalex.org/W2346062110","https://openalex.org/W2418255636","https://openalex.org/W2460583509","https://openalex.org/W2473108490","https://openalex.org/W2533800772","https://openalex.org/W2593232761","https://openalex.org/W2598799153","https://openalex.org/W2614217642","https://openalex.org/W2884547199","https://openalex.org/W2942992487","https://openalex.org/W2963108767","https://openalex.org/W2965262829","https://openalex.org/W3091204135","https://openalex.org/W3111255625","https://openalex.org/W3122431931","https://openalex.org/W3160244726","https://openalex.org/W3174422331","https://openalex.org/W3179877418","https://openalex.org/W3195174048","https://openalex.org/W3196676412","https://openalex.org/W3206736890","https://openalex.org/W4231106287","https://openalex.org/W4243742982","https://openalex.org/W4253114860","https://openalex.org/W4301045096"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W2033914206","https://openalex.org/W3127975138","https://openalex.org/W2042327336","https://openalex.org/W3123837699"],"abstract_inverted_index":{"The":[0,90],"liver":[1,12],"ultrasound":[2,38],"standard":[3],"planes":[4],"(LUSP)":[5],"have":[6,34],"significant":[7],"diagnostic":[8],"significance":[9],"during":[10],"ultrasonic":[11],"diagnosis.":[13,39,174],"However,":[14],"the":[15,30,62,68,74,82,88,111,117,123,130,141,144,152,155,163],"location":[16],"and":[17,25,28,86,104,128,165],"acquisition":[18],"of":[19,37,52,70,95,113,125,132,143,154,167],"LUSP":[20,53,85,171],"could":[21],"be":[22],"a":[23,56],"time-consuming":[24],"complicated":[26],"mission":[27],"requires":[29],"relevant":[31],"operator":[32],"to":[33,64,169],"comprehensive":[35],"knowledge":[36],"Therefore,":[40],"this":[41],"study":[42],"puts":[43],"forward":[44],"an":[45],"automatic":[46],"classification":[47,65],"approach":[48],"for":[49,172],"eight":[50],"types":[51],"based":[54],"on":[55,67],"pre-trained":[57],"CNN(Convolutional":[58],"Neural":[59],"Network).":[60],"With":[61],"comparison":[63],"methods":[66],"basis":[69],"conventional":[71],"hand-craft":[72],"characteristics,":[73],"method":[75,146],"proposed":[76,91],"by":[77],"us":[78],"can":[79],"automatically":[80],"catch":[81],"appearance":[83],"in":[84],"classify":[87,170],"LUSP.":[89],"model":[92],"is":[93],"consisted":[94],"13":[96],"convolutional":[97,126],"layers":[98,127],"with":[99],"little":[100],"3\u00d73":[101],"size":[102],"kernels":[103],"three":[105],"completely":[106],"connected":[107,134],"layers.":[108,135],"To":[109],"address":[110],"limitation":[112],"data,":[114],"we":[115],"adopt":[116],"transfer":[118],"learning":[119],"strategy,":[120],"which":[121,161],"pre-trains":[122],"weight":[124,131],"fine-tune":[129],"fully":[133],"These":[136],"extensive":[137],"experiments":[138],"show":[139],"that":[140],"accuracy":[142],"suggested":[145,156],"reaches":[147],"92.31%,":[148],"as":[149,151],"well":[150],"performance":[153],"means":[157],"outperforms":[158],"previous":[159],"ways,":[160],"demonstrates":[162],"suitability":[164],"effectiveness":[166],"CNN":[168],"clinical":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
