The Comprehensive Review of Neural Network: An Intelligent Medical Image Compression for Data Sharing

  • Suhaila Ab Aziz Universiti Teknologi Malaysia (UTM), Kuala Lumpur
  • Suriani Mohd Sam Universiti Teknologi Malaysia (UTM), Kuala Lumpur
  • Norliza Mohamed Universiti Teknologi Malaysia (UTM), Kuala Lumpur
  • Nilam Nur Amir Sjarif Universiti Teknologi Malaysia (UTM), Kuala Lumpur
  • Jahandad Baloch University of Ottawa
Keywords: Medical Image Compression, Intelligent Medical Image Compression, Neural Network, Data Sharing

Abstract

In the healthcare environment, digital images are the most commonly shared information. It has become a vital resource in health care services that facilitates decision-making and treatment procedures. The medical image requires large volumes of storage and the storage scale continues to grow because of the advancement of medical image technology. To enhance the interaction and coordination between healthcare institutions, the efficient exchange of medical information is necessary. Therefore, the sharing of the medical image with zero loss of information and efficiency needs to be guaranteed exactly. Image compression helps ensure that the purpose of sharing this data from a medical image must be as intelligent as possible to contain valuable information while at the same time minimizing unnecessary diagnostic information. Artificial Neural Network has been used to solve many issues in the processing of images. It has proved its dominance in the handling of noisy or incomplete image compression applications over traditional methods. It contributes to the resulting image by a high compression ratio and noise reduction. This paper reviews previous studies on the compression of intelligent medical images with the neural network approach to data sharing.

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Published
09-08-2020
How to Cite
Ab Aziz, S., Mohd Sam, S., Mohamed, N., Sjarif, N. N. A., & Baloch, J. (2020). The Comprehensive Review of Neural Network: An Intelligent Medical Image Compression for Data Sharing. International Journal of Integrated Engineering, 12(7), 81-89. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/6601