{"id":"https://openalex.org/W2598799153","doi":"https://doi.org/10.1109/tcyb.2017.2685080","title":"Ultrasound Standard Plane Detection Using a Composite Neural Network Framework","display_name":"Ultrasound Standard Plane Detection Using a Composite Neural Network Framework","publication_year":2017,"publication_date":"2017-03-30","ids":{"openalex":"https://openalex.org/W2598799153","doi":"https://doi.org/10.1109/tcyb.2017.2685080","mag":"2598799153","pmid":"https://pubmed.ncbi.nlm.nih.gov/28371793"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2017.2685080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2685080","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100353596","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-8400-3780"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591815","display_name":"Lingyun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Wu","raw_affiliation_strings":["Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090516040","display_name":"Qi Dou","orcid":"https://orcid.org/0000-0002-3416-9950"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qi Dou","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662807","display_name":"Jing Qin","orcid":"https://orcid.org/0000-0002-7059-0929"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Qin","raw_affiliation_strings":["School of Nursing, Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Nursing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429158","display_name":"Shengli Li","orcid":"https://orcid.org/0000-0003-0570-4165"},"institutions":[{"id":"https://openalex.org/I4210104539","display_name":"Shenzhen Maternity and Child Healthcare Hospital","ror":"https://ror.org/01me2d674","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Li","raw_affiliation_strings":["Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, Shenzhen, China","institution_ids":["https://openalex.org/I4210104539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455198","display_name":"Jie\u2010Zhi Cheng","orcid":"https://orcid.org/0000-0003-3446-8173"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie-Zhi Cheng","raw_affiliation_strings":["Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065374358","display_name":"Dong Ni","orcid":"https://orcid.org/0000-0002-9146-6003"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ni","raw_affiliation_strings":["Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"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"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Pheng-Ann Heng","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong","Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100353596"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":21.5585,"has_fulltext":false,"cited_by_count":166,"citation_normalized_percentile":{"value":0.9954868,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"47","issue":"6","first_page":"1576","last_page":"1586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"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/computer-science","display_name":"Computer science","score":0.7567513585090637},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6560288667678833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.628750741481781},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5073952078819275},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4909113049507141},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4673023223876953},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4263787567615509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3987802267074585},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3524479269981384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33564552664756775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567513585090637},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6560288667678833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.628750741481781},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5073952078819275},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4909113049507141},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4673023223876953},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4263787567615509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3987802267074585},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3524479269981384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33564552664756775},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2017.2685080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2685080","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:28371793","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28371793","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:repository.ust.hk:1783.1-108225","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2168-2267&rft.volume=v. 47&rft.issue=(6)&rft.date=2017&rft.spage=1576&rft.aulast=Chen&rft.aufirst=H.&rft.atitle=Ultrasound+Standard+Plane+Detection+Using+a+Composite+Neural+Network+Framework&rft.title=IEEE+Transactions+on+Cybernetics","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3407636599","display_name":null,"funder_award_id":"2015CB351706","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4022774536","display_name":null,"funder_award_id":"61233012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G444845467","display_name":null,"funder_award_id":"61571304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7407811887","display_name":null,"funder_award_id":"61501305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W7303821","https://openalex.org/W50483400","https://openalex.org/W133203765","https://openalex.org/W195502050","https://openalex.org/W1581407678","https://openalex.org/W1584308190","https://openalex.org/W1674799117","https://openalex.org/W1810943226","https://openalex.org/W1849277567","https://openalex.org/W1899504021","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1905882502","https://openalex.org/W1947481528","https://openalex.org/W1992889993","https://openalex.org/W2002031071","https://openalex.org/W2026514485","https://openalex.org/W2034842090","https://openalex.org/W2039133703","https://openalex.org/W2061715187","https://openalex.org/W2062118960","https://openalex.org/W2063540402","https://openalex.org/W2064675550","https://openalex.org/W2082941960","https://openalex.org/W2097117768","https://openalex.org/W2098120923","https://openalex.org/W2100690439","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2120023383","https://openalex.org/W2122585011","https://openalex.org/W2126918628","https://openalex.org/W2130942839","https://openalex.org/W2132061786","https://openalex.org/W2144499799","https://openalex.org/W2152722485","https://openalex.org/W2155737957","https://openalex.org/W2155893237","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2164330009","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2288062769","https://openalex.org/W2294318823","https://openalex.org/W2299095953","https://openalex.org/W2343172899","https://openalex.org/W2351447097","https://openalex.org/W2419896268","https://openalex.org/W2463818697","https://openalex.org/W2473108490","https://openalex.org/W2515917241","https://openalex.org/W2518297742","https://openalex.org/W2524947832","https://openalex.org/W2533800772","https://openalex.org/W2550409828","https://openalex.org/W2553191729","https://openalex.org/W2560920277","https://openalex.org/W2593232761","https://openalex.org/W2919115771","https://openalex.org/W2951123255","https://openalex.org/W2952825952","https://openalex.org/W2996792135","https://openalex.org/W3005542031","https://openalex.org/W4230412410","https://openalex.org/W6602152016","https://openalex.org/W6634906388","https://openalex.org/W6637157234","https://openalex.org/W6638273328","https://openalex.org/W6639824700","https://openalex.org/W6674708781","https://openalex.org/W6679436768","https://openalex.org/W6682824805","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6719642423","https://openalex.org/W6726143986","https://openalex.org/W6727474957","https://openalex.org/W6730513390","https://openalex.org/W6812760461"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2076845124","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W2183964146"],"abstract_inverted_index":{"Ultrasound":[0],"(US)":[1],"imaging":[2],"is":[3,24,38,175],"a":[4,39,47,81,117,151,171],"widely":[5],"used":[6],"screening":[7],"tool":[8],"for":[9,27,109,120,140,188],"obstetric":[10],"examination":[11,69],"and":[12,31,42,66,89,96,146,158],"diagnosis.":[13,32],"Accurate":[14],"acquisition":[15,37],"of":[16,50,74,93,124,155,167,184,191,201,210],"fetal":[17,51],"standard":[18,35,75,94,112,126,186,217],"planes":[19,76,127,187],"with":[20,46,150],"key":[21],"anatomical":[22,111],"structures":[23],"very":[25],"crucial":[26],"substantial":[28],"biometric":[29],"measurement":[30],"However,":[33],"the":[34,64,68,86,97,121,156,165,189,207,211,215],"plane":[36,218],"labor-intensive":[40],"task":[41],"requires":[43],"operator":[44],"equipped":[45],"thorough":[48],"knowledge":[49,180],"anatomy.":[52],"Therefore,":[53],"automatic":[54,72,122],"approaches":[55],"are":[56],"highly":[57],"demanded":[58],"in":[59],"clinical":[60],"practice":[61],"to":[62,85,177,205],"alleviate":[63],"workload":[65],"boost":[67],"efficiency.":[70],"The":[71],"detection":[73,182,219],"from":[77,128,132],"US":[78,129,202],"videos":[79,204],"remains":[80],"challenging":[82],"problem":[83],"due":[84],"high":[87],"intraclass":[88],"low":[90,99],"interclass":[91],"variations":[92],"planes,":[95,113],"relatively":[98],"image":[100],"quality.":[101],"Unlike":[102],"previous":[103],"studies":[104],"which":[105],"were":[106],"specifically":[107],"designed":[108],"individual":[110],"respectively,":[114],"we":[115],"present":[116],"general":[118],"framework":[119,143,154,174,213],"identification":[123],"different":[125],"videos.":[130],"Distinct":[131],"conventional":[133],"way":[134],"that":[135],"devises":[136],"hand-crafted":[137],"visual":[138],"features":[139],"detection,":[141],"our":[142],"explores":[144],"in-":[145],"between-plane":[147],"feature":[148,192],"learning":[149,173],"novel":[152],"composite":[153],"convolutional":[157],"recurrent":[159],"neural":[160],"networks.":[161],"To":[162],"further":[163],"address":[164],"issue":[166],"limited":[168],"training":[169],"data,":[170],"multitask":[172],"implemented":[176],"exploit":[178],"common":[179],"across":[181],"tasks":[183],"distinctive":[185],"augmentation":[190],"learning.":[193],"Extensive":[194],"experiments":[195],"have":[196],"been":[197],"conducted":[198],"on":[199,214],"hundreds":[200],"fetus":[203],"corroborate":[206],"better":[208],"efficacy":[209],"proposed":[212],"difficult":[216],"problem.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
