A5034749480- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Machine Learning and Data Classification
- Mobile Ad Hoc Networks
- Smart Agriculture and AI
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Cardiac Imaging and Diagnostics
- ECG Monitoring and Analysis
- Energy Harvesting in Wireless Networks
- Blind Source Separation Techniques
- Energy Efficient Wireless Sensor Networks
Abasyn University
2013-2019
COMSATS University Islamabad
2017
Universiti Malaysia Sarawak
2016-2017
In this paper, we propose Regional Energy Efficient Cluster Heads based on Maximum (REECH-ME) Routing Protocol for Wireless Sensor Networks (WSNs). The main purpose of protocol is to improve the network lifetime and particularly stability period network. REECH-ME, node with maximum energy in a region becomes Head (CH) that particular round number cluster heads each remains same. Our technique outperforms LEACH which uses probabilistic approach selection CHs. We also implement Uniform Random...
Background: Major reason of mortality all around the world is cardiac disorders. Eminent progress medical physics for imaging and exceptional benefits MRI makes it a frequently used tool examination diagnosis suspected abnormalities. Discussion: This article discusses characteristics MR short axis images. Secondly, this study explains existing semi-automatic automatic techniques segmenting left ventricle from The survey deeply performance segmentation figuring their results comparison with...
Background: Medical Resonance Imaging (MRI) images degradation is still a challenging task. The noise compulsory destructive factor that gets added in MRI due to several environmental and mechanical reasons. In this paper, an effort made Genetic Programming (GP) based hybrid removal approach proposed which reduces the effect of Rician images. Methods: preserves structural edges details regions GP uses Feature Extraction phase, Optimal Expression module Estimation remove noise. To validate...