A foundation model for generalizable disease detection from retinal images
Nature, 2023 RETFound, a foundation model for retinal images that learns generalizable representations from unlabelled images, is trained on 1.6 million unlabelled images by self-supervised learning and then adapted to disease detection tasks with explicit labels ...
Yukun Zhou +94 more
semanticscholar +1 more source
Nature Communications, 2021 Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular ...
Ling-Ping Cen +31 more
semanticscholar +1 more source
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research
International Conference on Data Technologies and Applications, 2021 The world faces difficulties in terms of eye care, including treatment, quality of prevention, vision rehabilitation services, and scarcity of trained eye care experts.
S. Pachade +8 more
semanticscholar +1 more source
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model [PDF]
IEEE Transactions on Medical Imaging, 2020 Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that has been increasingly used to image the retinal vasculature at capillary level resolution.
Yuhui Ma +9 more
semanticscholar +1 more source
Functions and Diseases of the Retinal Pigment Epithelium
Frontiers in Pharmacology, 2021 The retinal pigment epithelium is a fundamental component of the retina that plays essential roles in visual functions. Damage to the structure and function of the retinal pigment epithelium leads to a variety of retinopathies, and there is currently no ...
Song Yang, Jun Zhou, Dengwen Li
semanticscholar +1 more source
Development of a protocol for maintaining viability while shipping organoid-derived retinal tissue. [PDF]
, 2020 Retinal organoid technology enables generation of an inexhaustible supply of three-dimensional retinal tissue from human pluripotent stem cells (hPSCs) for regenerative medicine applications.
Binette, Francois +6 more
core +1 more source
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network [PDF]
Biomedical Optics Express, 2017 Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end segmentation of retinal ...
Abhijit Guha Roy +6 more
semanticscholar +1 more source
Preoperative electrophysiological characterization of patients with primary macula-involving rhegmatogenous retinal detachment [PDF]
, 2018 Purpose: To determine 1) which components of retinal function are impaired after rhegmatogenous retinal detachment, 2) which outer retinal pathways (rod- or cone-driven) are more severely affected, and 3) whether there is concomitant inner retinal ...
Apte, Rajendra +3 more
core +3 more sources
Association of Systemic Inflammation With Retinal Vascular Caliber in Patients With AIDS. [PDF]
, 2019 PurposeTo evaluate relationships among retinal vascular caliber and biomarkers of systemic inflammation in patients with AIDS.MethodsA total of 454 participants with AIDS had retinal vascular caliber (central retinal artery equivalent and central retinal
Cheu, Ryan +9 more
core +1 more source
In vivo volumetric imaging of human retinal circulation with phase-variance optical coherence tomography [PDF]
, 2011 We present in vivo volumetric images of human retinal micro-circulation using Fourier-domain optical coherence tomography (Fd-OCT) with the phase-variance based motion contrast method.
An +30 more
core +2 more sources