Image segmentation is a fundamental and tedious task of computer vision. Because of
inherent noise and intensity inhomogeneity in real-world images, it remains a difficult …

The work proposes a computer‐based diagnosis method (CBDM) to delineate and assess
the corpus callosum (CC) segment from the 2‐dimensional (2D) brain magnetic resonance …

In ophthalmology, examination of the optic nerve and disc of the retina is a common way to
diagnose a variety of eye diseases such as aging, diabetes, optic neuritis, glaucoma …

Multilevel thresholding is widely used in brain magnetic resonance (MR) image
segmentation. In this article, a multilevel thresholding-based brain MR image segmentation …

Brainstem texture analysis can provide valuable information in the diagnosis of Early Mild
Cognitive Impairment (EMCI) condition. In this work, 3D brainstem structure is segmented …

In this study, an attempt has been made to analyze the effect of the Extreme Learning
Machine (ELM) classifier and its variants in the differentiation of Healthy Controls (HC) and …

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory loss
and other cognitive abnormalities. In this research work, an MRI-based Computer-Aided …

Alzheimer's disease (AD) is a progressive neurodegenerative brain disorder that primarily
affects elderly individuals. Mild cognitive impairment (MCI) represents an intermediate stage …

Image segmentation is an important task in image processing, which is widely used in
medical applications such as abnormality detection and after treatment progress monitoring …

MCDM is concerned with structuring and solving decision and planning problems involving
multiple criteria. The purpose is to support decision makers facing such problems. Typically …