The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

An overview of the applications of deep learning for ophthalmic diagnosis using retinal
fundus images is presented. We describe various retinal image datasets that can be used for …

Epilepsy is a common neurological condition that can occur in anyone at any age.
Electroencephalogram (EEG) signals of non-focal (NF) and focal (F) types contain brain …

Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …

Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

Deep learning techniques have gained significant importance among artificial intelligence
techniques for any computing applications. Among them, deep convolutional neural …

As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in keeping up with changing and unpredictable demands as well as …

Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and
accurate diagnosis can improve the analysis and prognosis of the disease. One of the …

Retinal disease classification is a significant problem in computer-aided diagnosis (CAD) for
medical applications. This paper is focused on a 4-class classification problem to …

In ophthalmology, early fundus screening is an economic and effective way to prevent
blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources …