Alzheimer's disease (AD) brain magnetic resonance imaging (MRI) biomarkers based on
larger-scale tissue neurodegeneration changes, such as atrophy, are currently widely used …

Background As the medical images contain both superficial and imperceptible patterns,
textures are successfully used as discriminant features for the detection of cancers, tumors …

This study investigated three-dimensional (3D) texture as a possible diagnostic marker of
Alzheimer's disease (AD). T1-weighted magnetic resonance (MR) images were obtained …

Background: Non-invasive characterization of the pathological features of Alzheimer's
disease (AD) could enhance patient management and the development of therapeutic …

Abstract Background and Objective Brainstem analysis in Magnetic Resonance Images is
essential to detect Alzheimer's condition in the preclinical stages. In this work, an attempt …

Texture analysis is an emerging field that allows mathematical detection of changes in MRI
signals that are not visible among image pixels. Alzheimer's disease, a progressive …

Background: We propose a classification method for Alzheimer's disease (AD) based on the
texture of the hippocampus, which is the organ that is most affected by the onset of AD …

Alzheimer's Disease (AD) is a progressive fatal neurodegenerative disorder that causes
cognitive decline in affected people. Image processing of brain MR images can aid in …

Background: In this study, we investigated the fusion of texture and morphometric features
as a possible diagnostic biomarker for Alzheimer's Disease (AD). Methods: In particular, we …

Objective Many studies evaluated how the Magnetic Resonance Imaging (MRI) field
strength affects the effectiveness to detect neurodegenerative changes of Alzheimer's …