A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

It is feasible to recognize the presence and seriousness of eye disease by investigating the
progressions in retinal biological structures. Fundus examination is a diagnostic procedure …

With recent advanced technologies, various automated diagnosis tools were developed to
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …

Automatic detection of retinal diseases is found to be more challenging and gaining
considerable attention in the recent years. The visual impairments are emerging in different …

This paper presents the real-time implementation of deep neural networks on smartphone
platforms to detect and classify diabetic retinopathy from eye fundus images. This …

Background. In recent years, deep learning has been increasingly applied to a vast array of
ophthalmological diseases. Inherited retinal diseases (IRD) are rare genetic conditions with …

One of the most challenging tasks for ophthalmologists is early screening and diagnosis of
ocular diseases from fundus images. However, manual diagnosis of ocular diseases is …

Quality control is an essential operation for an automotive company like Faurecia. A vast
number of references is produced, and many regions of interest need to be checked. For …

Inherited retinal diseases (IRDs) are genetic disorders that cause progressive deterioration
of the photoreceptors associated with vision loss or blindness. Retinitis pigmentosa (RP) is a …