Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory
processes, demyelination, neurodegeneration, and axonal damage within the central …

Aims To develop and externally test deep learning (DL) models for assessing the image
quality of three-dimensional (3D) macular scans from Cirrus and Spectralis optical …

Background Studies have demonstrated that people with multiple sclerosis (MS) experience
visual impairments and neurodegenerative retinal processes. The disability progression in …

Reliable biomarkers quantifying neurodegeneration and neuroinflammation in central
nervous system disorders such as Multiple Sclerosis, Alzheimer's dementia or Parkinson's …

Background The diagnosis of multiple sclerosis (MS) requires demyelinating events that are
disseminated in time and space. Peripapillary retinal nerve fiber layer (pRNFL) thickness as …

This study presents a fully automated image informatics framework. The framework is
combined with a deep learning (DL) approach to automatically predict visual acuity …

Purpose To develop a deep learning-based framework to improve the image quality of
optical coherence tomography (OCT) and evaluate its image enhancement effect with the …

Abstract Machine learning algorithms gains prominence in health care sectors for disease
diagnosis, classification and prediction. Deep learning architecture gains prominence in real …

Imbalanced classes and dimensional disasters are critical challenges in medical image
classification. As a classical machine learning model, the n‐gram model has shown …

Purpose: To test the hypothesis that newly developed shape measures using optical
coherence tomography (OCT) macular volume scans can discriminate patients with …