MULTIMODAL FUNDUS IMAGING OF OUTER RETINAL TUBULATIONS IN CHOROIDAL OSTEOMA PATIENTS

Retina ◽  
2018 ◽  
Vol 38 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Yi Xuan ◽  
Yongjin Zhang ◽  
Min Wang ◽  
Jinli Guo ◽  
Lei Li ◽  
...  
2012 ◽  
Vol 153 (5) ◽  
pp. 890-895.e3 ◽  
Author(s):  
Eduardo V. Navajas ◽  
Rogerio A. Costa ◽  
Daniela Calucci ◽  
Dena S. Hammoudi ◽  
E. Rand Simpson ◽  
...  

2021 ◽  
pp. 108530
Author(s):  
Michael Peng ◽  
Bomina Park ◽  
Hemavathy Harikrishnan ◽  
Sultana Jahan ◽  
Jiannong Dai ◽  
...  
Keyword(s):  

2015 ◽  
Vol 15 (05) ◽  
pp. 1550085 ◽  
Author(s):  
MADHURI TASGAONKAR ◽  
MADHURI KHAMBETE

Diabetes affects retinal structure of a diabetic patient by generating various lesions. Early detection of these lesions can avoid the loss of vision. Automation of detection process can be made easily feasible to masses by the use of fundus imaging. Detection of exudates is significant in diabetic retinopathy (DR) as they are earlier signs and can cause blindness. Finding the exact location as well as correct number of exudates play vital role in the overall treatment of a patient. This paper presents an algorithm for automatic detection of exudates for DR. The algorithm combines the advantages of supervised and unsupervised techniques. It uses fuzzy-C means (FCM) segmentation on coarse level and mahalanobis metric for finer classification of segmented pixels. Mahalanobis criterion gives significance to most relevant features and thus proves a better classifier. The results are validated using DIARETDB0 and DIARETDB1 databases and the ground truth provided with it. This evaluation provided 95.77% detection accuracy.


2021 ◽  
pp. bjophthalmol-2021-319228
Author(s):  
Malena Daich Varela ◽  
Burak Esener ◽  
Shaima A Hashem ◽  
Thales Antonio Cabral de Guimaraes ◽  
Michalis Georgiou ◽  
...  

Ophthalmic genetics is a field that has been rapidly evolving over the last decade, mainly due to the flourishing of translational medicine for inherited retinal diseases (IRD). In this review, we will address the different methods by which retinal structure can be objectively and accurately assessed in IRD. We review standard-of-care imaging for these patients: colour fundus photography, fundus autofluorescence imaging and optical coherence tomography (OCT), as well as higher-resolution and/or newer technologies including OCT angiography, adaptive optics imaging, fundus imaging using a range of wavelengths, magnetic resonance imaging, laser speckle flowgraphy and retinal oximetry, illustrating their utility using paradigm genotypes with on-going therapeutic efforts/trials.


2022 ◽  
Vol 15 (2) ◽  
pp. 027001
Author(s):  
Yang Cui ◽  
Taiki Takamatsu ◽  
Koichi Shimizu ◽  
Takeo Miyake

Abstract As for the diagnosis and treatment of eye diseases, an ideal fundus imaging system is expected to be portability, low cost, and high resolution. Here, we demonstrate a non-mydriatic near-infrared fundus imaging system with light illumination from an electronic contact lens (E-lens). The E-lens can illuminate the retinal and choroidal structures for capturing the fundus images when voltage is applied wirelessly to the lens. And we also reconstruct the images with a depth-dependent point-spread function to suppress the scattering effect that eventually visualizes the clear fundus images.


Author(s):  
Anne F. Alex ◽  
Maged Alnawaiseh ◽  
Peter Heiduschka ◽  
Nicole Eter

2003 ◽  
Vol 48 (2) ◽  
pp. 121
Author(s):  
Dong Hun Kim ◽  
Sang Woo Park ◽  
Jeong Hun Kim
Keyword(s):  

2016 ◽  
Vol 95 (2) ◽  
pp. e152-e154 ◽  
Author(s):  
Gilda Cennamo ◽  
Mario R. Romano ◽  
Claudio Iovino ◽  
Nunzio Velotti ◽  
Maria Angelica Breve ◽  
...  

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