Survey on Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks

Authors

  • Rupali Waghmare  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Komal Jagtap  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Rajshree Ghanwat  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Pooja Khaire  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Nilesh Mali  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Convolutional neural network, Deep learning, Quality assessment, Echocardiography, Apical four-chamber.

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rupali Waghmare, Komal Jagtap, Rajshree Ghanwat, Pooja Khaire, Prof. Nilesh Mali, " Survey on Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.22-24, September-October-2019.