Deep learning has emerged as a powerful tool in the field of medical imaging, particularly in the diagnosis of retinal diseases ... to identify macular edema in OCT images. This model utilizes ...
Introduction: Retinal diseases significantly impact patients’ quality of life and increase social medical costs. Optical coherence tomography (OCT) offers high-resolution imaging for precise detection ...
worse near vision significantly affects OCT image quality and completion rate; OCT scans in pediatric subjects pose greater challenges for alignment in the optic disc area compared to the macular ...
Fourier-domain optical coherence tomography (OCT) was used to image the three-dimensional (3D) structures of the proliferative membrane in proliferative diabetic retinopathy. The case of a 51-year-old ...
tmd.ac.jp Aims: To investigate the morphological changes that occur during the development of an early retinal detachment (RD) from a myopic macular retinoschisis (MRS) by optical coherence tomography ...
NEW YORK — In this presentation from OSN New York Retina, Majda Hadziahmetovic, MD, of Duke University, discusses the growing role of Home OCT and how it offers precise personalization in ...
Abstract: Diabetic macular ... damaged retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM patients. This study introduces a novel ...