Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss.

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Bibliographic Details
Title: Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss.
Authors: Yang H; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China.; Department of Pediatrics, Shantou University Medical College, Shantou, China., Hu XR; Department of Computer Science and Engineering, University of Notre Dame, South Bend, IN, United States., Sun L; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China., Hong D; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China., Zheng YY; Cardiac Center, Guangdong Women and Children Hospital, Guangzhou, China., Xin Y; Department of Cardiology, Shenzhen Children's Hospital, Shenzhen, China., Liu H; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China., Lin MY; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China.; Department of Pediatrics, Shantou University Medical College, Shantou, China., Wen L; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China., Liang DP; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China., Wang SS; Department of Pediatric Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, China.
Source: Frontiers in genetics [Front Genet] 2021 Jun 07; Vol. 12, pp. 669841. Date of Electronic Publication: 2021 Jun 07 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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