In remote medical diagnosis, the percentage of poor-quality fundus images is very high,
which requires automated quality assessment of fundus images in the acquisition stage to …

Glaucoma is a silent progressive eye disease that is among the leading causes of
irreversible blindness. Early detection and proper treatment of glaucoma can limit severe …

Retinal image quality assessment (RIQA) is one of the key components in screening for
diabetic retinopathy (DR). As one of the most serious complications of diabetes, DR has …

A novel two‐branched deep convolutional (TWEEC) network is developed for computer‐
aided glaucoma diagnosis. The TWEEC network is designed to simultaneously extract …

Color fundus image quality greatly influence the doctors' diagnostic accuracy. However, the
problems of imbalance data and small sample are the key issues of the color fundus images …

Image acquisition and automatic quality analysis are fundamental stages and tasks to
support an accurate ocular diagnosis. In particular, when eye fundus image quality is not …

Oculopathy is a widespread disease among people of all ages around the world.
Teleophthalmology can facilitate the ophthalmological diagnosis for less developed …

Brain tumors pose a significant health risk and require immediate attention. Despite
progress, accurately classifying these tumors remains challenging due to their location …

Retinal image quality assessment (RIQA) is crucial for diagnosing various eye diseases and
ensuring the accuracy of diagnostic analyses based on retinal fundus images. Traditional …

The automatic retinal screening system (ARSS) is a valuable computer-aided diagnosis tool
for healthcare providers and public health initiatives. The ARSS facilitates mass retinal …