Magnetic resonance imaging (MRI), which assists doctors in determining clinical staging
and expected surgical range, has high medical value. A large number of MRI images require …

Medical diagnosis is always a time and a sensitive approach to proper medical treatment.
Automation systems have been developed to improve these issues. In the process of …

In this world of evolution, the utilization of the medical technology and huge data generation
by the different medical modalities, the storage, transmission and handling of the digital data …

In this world of big data, the development and exploitation of medical technology is vastly
increasing and especially in big biomedical imaging modalities available across medicine …

INTRODUCTION: Deep learning-based Image compression achieves a promising result in
recent years as compared with the traditional transform coding methodology. Autoencoder …

Medical imaging is an active and developing field that has an impact on recognition,
diagnosis and surgical planning of the disease. The image compression is introduced in the …

Medical images play a significant role in diagnosis of diseases and require a simple and
efficient compression technique. This paper proposes a block based lossless image …

Much research is still underway to achieve long-term and real-time monitoring using data
from vision-based sensors. A major challenge is handling and processing enormous amount …

Context-based compression plays a vital role in digital communication systems, since a
particular region alone can be preserved using high bit rate and the other regions can be …

With the widely dispersed populations, efficient medical services have scarcely touched the
lives of the people in rural areas. However, the exponential increase in the growth of …