Purpose To validate the generalizability of a deep learning system (DLS) that detects
diabetic macular edema (DME) from 2-dimensional color fundus photographs (CFP), for …

Purpose To evaluate longitudinally the performance of the Notal Vision Home OCT (NVHO),
comprising a spectral-domain OCT device for patient self-imaging at home, telemedicine …

Purpose With the aging population and the global diabetes epidemic, the prevalence of age-
related macular degeneration (AMD) and diabetic macular edema (DME) diseases which …

Diabetic macular edema (DME) is one of the most common eye complication caused by
diabetes mellitus, resulting in partial or total loss of vision. Optical Coherence Tomography …

Purpose: To develop a new intelligent system based on deep learning for automatically
optical coherence tomography (OCT) images categorization. Methods: A total of 60,407 OCT …

Central Serous Retinopathy (CSR), also known as Central Serous Chorioretinopathy (CSC),
occurs due to the clotting of fluids behind the retinal surface. The retina is composed of thin …

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 …

Purpose. Although optical coherence tomography (OCT) is essential for ophthalmologists,
reading of findings requires expertise. The purpose of this study is to test deep learning with …

Purpose The advent of electronic medical records (EMRs) with large electronic imaging
databases along with advances in deep neural networks with machine learning has …

Purpose To apply a deep learning algorithm for automated, objective, and comprehensive
quantification of optical coherence tomography (OCT) scans to a large real-world dataset of …