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ANFIS based decision support system for prenatal detection of Truncus Arteriosus congenital heart defect

  • Published:2016-09 Issue: Volume:46 Page:577-587
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Sridevi S.,Nirmala S.

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. Improving the effectiveness of routine prenatal screening for major congenital heart defects;Carvalho;Heart,2002

2. Prevalence of congenital heart defects in metropolitan Atlanta, 1998–2005;Reller;J. Pediatr.,2008

3. Persistent truncus arteriosus with a single umbilical artery: a case report;Das;Indian J. Basic Appl. Med. Res.,2014

4. Fetal Monitoring, http://www2.eng.cam.ac.uk/dmh/sig/hrm3.html.

5. Despeckle Filtering Algorithms and Software for Ultrasound Imaging;Loizou,2008

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1. Investigation on ultrasound images for detection of fetal congenital heart defects;Biomedical Physics & Engineering Express;2024-05-31

2. Prenatal Detection of Ventricular Septal Defects by VGG -16 Model Using Ultrasound Images;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

3. Automated Recognition of Congenital Heart Defects (CHD) from Ultrasonic Fetal Heart Biometry;Journal of Physics: Conference Series;2023-10-01

4. An adaptive neuro fuzzy methodology for the diagnosis of prenatal hypoplastic left heart syndrome from ultrasound images;Multimedia Tools and Applications;2023-09-12

5. Application of Bayesian Regularization ANN for the Classification of HLHS Anomaly Images;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23
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