Abstract A Computer-Aided Diagnosis (CAD) system to assist a radiologist for diagnosing
pulmonary emphysema from chest Computed Tomography (CT) slices has been developed …

Background Image segmentation is considered an important step in image processing.
Fuzzy c-means clustering is one of the common methods of image segmentation. However …

In this study a novel approach to segment tissue of the brain in magnetic resonance imaging
(MRI) images has been introduced to diagnose Alzheimer's disease. The algorithm …

Hyperspectral remote sensing is one of the important approaches in the area of remote
sensing owing to the latest enhancements in the Hyper Spectral Imaging (HSI) technology …

In this study, image denoising has been realized with with the one of the recent Nature-
Inspired optimization algorithms, Grey Wolf Optimizer (GWO). GWO is one of the recent most …

Fuzzy C-Means and Possibilistic C-Means are two most used algorithms in the computer
aided diagnosis systems (CAD) for image segmentation. Due to simple implementation, fast …

The image segmentation problem is one of the most studied problems because it helps in
several areas. In this paper, the authors propose new algorithms to resolve two problems …

Вінницький національний технічний університет Міністерство освіти і Page 1 Вінницький
національний технічний університет Міністерство освіти і науки України Кваліфікаційна …