[PDF][PDF] MICCS: A novel framework for medical image compression using compressive sensing

M Lakshminarayana, M Sarvagya - International Journal of Electrical …, 2018 - academia.edu
The vision of some particular applications such as robot-guided remote surgery where the
image of a patient body will need to be captured by the smart visual sensor and to be sent …

[PDF][PDF] OFCS: Optimized framework of compressive sensing for medical images in bottleneck network condition

M Lakshminarayana, M Sarvagya - International Journal of Electrical …, 2018 - academia.edu
Compressive sensing is one of teh cost effective solution towards performing compression of
heavier form of signals. We reviewed the existing research contribution towards …

Random sample measurement and reconstruction of medical image signal using compressive sensing

M Lakshminarayana, M Sarvagya - … international conference on …, 2015 - ieeexplore.ieee.org
There is an enhancement of network and communication and other technologies, which
leads to visualize various applications for common users. Medical systems are one of the …

A prediction model of microcirculation disorder in myocardium based on ultrasonic images

M Tian, M Zheng, S Qiu, Y Song - Journal of Ambient Intelligence and …, 2023 - Springer
The primary cause of coronary heart disease is abnormal myocardial circulatory perfusion.
Microcirculation is the key link of myocardial oxygen supply and plays a major role in …

Algorithm to balance compression and signal quality using novel compressive sensing in medical images

M Lakshminarayana, M Sarvagya - International Conference on …, 2016 - Springer
Usage of compressive sensing plays a highly contributory role in compression, storage, and
transmission in medical images even in presence of inherent complexities associated with …

CARIC: A Novel Modeling of Combinatorial Approach for Radiological Image Compression

M Lakshminarayana, M Sarvagya - … of the 6th Computer Science On-line …, 2017 - Springer
The contribution of several compression algorithms plays a significant role in minimizing the
size of multiple radiological images from last decade. However, a closer look into existing …

MICCS: A Novel Framework for Medical Image Compression Using Compressive Sensing.

M Sarvagya - … of Electrical & Computer Engineering (2088 …, 2018 - search.ebscohost.com
The vision of some particular applications such as robot-guided remote surgery where the
image of a patient body will need to be captured by the smart visual sensor and to be sent …

OFCS: Optimized Framework of Compressive Sensing for Medical Images in Bottleneck Network Condition.

M Sarvagya - … of Electrical & Computer Engineering (2088 …, 2018 - search.ebscohost.com
Compressive sensing is one of teh cost effective solution towards performing compression of
heavier form of signals. We reviewed the existing research contribution towards …