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Survey on Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks

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  • Rupali Waghmare
  • Komal Jagtap
  • Rajshree Ghanwat
  • Pooja Khaire
  • Nilesh Mali

Abstract

Neural network has been evolving day by day with many features. The core of the neural network lies in the interaction between the neurons in the hidden layer. The neurons interact with each other by considering the weights between them. This results in the output of the system. There are many applications in which neural network can be practiced. This paper proposes Convolutional Neural Networks in medical science. It focuses on echocardiography. The term echocardiography means that the internal structure of a patient’s heart is studied through the images. The ultrasound waves create these images. The abnormalities in these images are found through echo.

Suggested Citation

  • Rupali Waghmare & Komal Jagtap & Rajshree Ghanwat & Pooja Khaire & Nilesh Mali, 2019. "Survey on Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(8), pages 22-24, October.
    • Handle: RePEc:jbh:ijsrcs:v4:y2019:i8:id:hcseit19486
    Note: Article URL: https://ijsrcseit.com/CSEIT19486
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