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The comprehensive review of neural network: an intelligent medical image compression for data sharing

Ab. Aziz, Suhaila and Mohd. Sam, Suriani and Mohamed, Norliza and Amir Sjarif, Nilam Nur and Baloch, Jahandad (2020) The comprehensive review of neural network: an intelligent medical image compression for data sharing. International Journal of Integrated Engineering, 12 (7). pp. 81-89. ISSN 2229-838X

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Official URL: https://publisher.uthm.edu.my/ojs/index.php/ijie/a...


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.

Item Type:Article
Uncontrolled Keywords:intelligent medical image compression, medical image compression, neural network
Subjects:T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:Razak School of Engineering and Advanced Technology
ID Code:93788
Deposited By: Yanti Mohd Shah
Deposited On:31 Dec 2021 16:51
Last Modified:31 Dec 2021 16:51

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