Results 81 to 90 of about 277,755 (206)

The repeatability of superficial retinal vessel density measurements in eyes with long axial length using optical coherence tomography angiography

BMC Ophthalmology, 2018
Background To investigate the repeatability of superficial retinal vessel density measurements in healthy eyes with long axial length (AL) using optical coherence tomography angiography (OCTA). Methods There were 60 eyes of 31 volunteers enrolled in this
Mengyang Li, Enzhong Jin, Chongya Dong, Chuan Zhang, Mingwei Zhao, Jinfeng Qu   +5 more
doaj   +1 more source

Distinctive Mechanisms and Patterns of Exudative Versus Tractional Intraretinal Cystoid Spaces as Seen With Multimodal Imaging. [PDF]

, 2020
PurposeTo determine clear-cut distinctions between tractional and exudative intraretinal cystoid spaces subtypes.DesignRetrospective, multicenter, observational case series.MethodsA cohort of patients diagnosed with intraretinal cystoid spaces and imaged
Au, Adrian, Chehaibou, Ismael, Couturier, Aude, Govetto, Andrea, Grondin, Christelle, Hubschman, Jean-Pierre, Romano, Mario R, Sarraf, David, Tadayoni, Ramin, Virgili, Gianni   +9 more
core  

α-Klotho prevents diabetic retinopathy by reversing the senescence of macrophages

Cell Communication and Signaling
Background Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM) and a significant cause of acquired blindness in the working-age population worldwide.
Qingbo Li, Peiyu Wang, Yi Gong, Manhong Xu, Manqiao Wang, Rong Luan, Juping Liu, Xiaorong Li, Yan Shao   +8 more
doaj   +1 more source

Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases [PDF]

arXiv, 2020
Optical coherence tomography (OCT) scanning is useful in detecting various retinal diseases. However, there are not enough ophthalmologists who can diagnose retinal OCT images in much of the world. To provide OCT screening inexpensively and extensively, an automated diagnosis system is indispensable.
arxiv  

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses [PDF]

arXiv
Retinal image plays a crucial role in diagnosing various diseases, as retinal structures provide essential diagnostic information. However, effectively capturing structural features while integrating them with contextual information from retinal images remains a challenge.
arxiv  

Syphilitic Retinal Disease [PDF]

, 1921
F.B. Harding
openalex   +1 more source

Synthesizing New Retinal Symptom Images by Multiple Generative Models [PDF]

AI for Retinal Image Analysis Workshop ACCV 2018, 2019
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal disease which may result in loss of vision. There is limited access to high-quality relevant retinal images and poor understanding of the features defining sub-classes of this disease. Motivated by recent advances in machine learning we specifically explore the potential of generative ...
arxiv  

Retinal Micro-Aneurysms in connection with Generalized Diseases causing Retinopathy [PDF]

, 1951
R. Sysi
openalex   +1 more source

Human Visual Perception and Retinal Diseases [PDF]

, 2010
Retinal diseases are causing alterations of the visual perception leading sometimes to blindness. For this reason, early detection and diagnosis of retinal pathologies is very important.
LUPASCU, Carmen Alina
core  

Retinal vascular changes in untreated retinoblastoma. Resemblance to von Hippel-Lindau disease. [PDF]

, 1969
Michael Bedford, P A Macfaul
openalex   +1 more source