Medical image is an important information source to understand the patient's condition. As a result, interpreting the medical images is a critical part of the clinical procedure. However …
Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness. Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
P Sen, A Bamel - Indian Journal of Ophthalmology, 2022 - journals.lww.com
Retinopathy of prematurity (ROP) is usually a disease of extremely premature babies. In developing nations like ours, improvement in neonatal care has led to survival of the …
Human eye is a complex mechanism that enables us the sense of vision. Retina, being one of the most important layers of eye, in any case gets affected, leads to severe visual …
The past decade has witnessed the rise of Convolutional Neural Networks (CNNs) in deep learning. The CNN models have succeeded in a variety of general application domains such …
One of the leading causes of childhood blindness is retinopathy of prematurity (ROP), a proliferative vascular eye disease that primarily affects premature infants delivered to …
R Chawla - … Systems and Technologies: 14th International Joint …, 2023 - books.google.com
Retinopathy of Prematurity (ROP) is the most common cause of visual impairment among premature babies throughout the world. The consequence of ROP impairment can be …
F Antaki, K Bachour, TN Kim - Ophthalmology, 2020 - scholar.archive.org
Telemedicine-based remote digital fundus imaging (RDFI-TM) offers a promising platform for the screening of retinopathy of prematurity. RDFI-TM addresses some of the challenges …
Purpose The purpose of the paper is to review the literature in relation to the imaging means that have been used in retinopathy of prematurity, the analysis of imaging tests, the …