Multicolor Retinal Imaging

2017 ◽  
pp. 12-16
Keyword(s):  
Optic Disc ◽  
New Technology ◽  
Retinal Imaging ◽  
Retinal Diseases ◽  
Screening Programs ◽  
Multicolor Imaging ◽  
Retinal Screening

Multicolor imaging is a new technology that provides retinal and optic disc imaging. Different layers of retina can be imaged by using three different wavelength lasers (blue, green, infrared). Retina can be seen in detail and clearly. As it aids in following up the retinal diseases by documenting the images, it has been started used in retinal screening programs.

scholarly journals Retinal imaging in inherited retinal diseases

2020 ◽  
Vol 5 ◽  
pp. 25-25
Author(s):  
Michalis Georgiou ◽  
Kaoru Fujinami ◽  
Michel Michaelides
Keyword(s):  
Retinal Imaging ◽  
Retinal Diseases

scholarly journals Commentary: Multicolor imaging in optic disc swelling

2017 ◽  
Vol 65 (11) ◽  
pp. 1255
Author(s):  
Apoorva Ayachit ◽  
Guruprasad Ayachit ◽  
Shrinivas Joshi ◽  
Puneet Isloor
Keyword(s):  
Optic Disc ◽  
Multicolor Imaging ◽  
Optic Disc Swelling

scholarly journals Multicolor imaging of optic disc melanocytoma

2019 ◽  
Vol 67 (12) ◽  
pp. 2056
Author(s):  
Ramesh Venkatesh ◽  
Arpitha Pereira ◽  
Sherina Thomas ◽  
NareshKumar Yadav
Keyword(s):  
Optic Disc ◽  
Multicolor Imaging

scholarly journals Automatic Assesment of Pathological Disorder using Color Retinal Images

2019 ◽  
Vol 8 (4) ◽  
pp. 6610-6616
Keyword(s):  
Optic Disc ◽  
Retinal Images ◽  
Retinal Diseases ◽  
Body Structure ◽  
Color Intensity ◽  
Initial Stage ◽  
Yellow Color ◽  
Excretory Organ ◽  
Area Unit ◽  
Small Aneurysms

Our vision reduced in eye because of the presence of retinal diseases like Exudates(diabetic Retinopathy), small aneurysms and vessel harm. This project principally concentrates on the symptoms of heart, lung, liver and excretory organ issues identification mistreatment retina body structure pictures. Our planned work shows that however optic disc elimination and follower the symptom detection. Optic disc is one among the components that encompass intersection of blood vessels and it conjointly has same characteristics of exudates like yellow color, intensity and distinction. Distinguish the optic disc and exudates is crucial one. Thus solely initial eliminate the optic disc and follower that exudates detection. This detection methodology terribly favorably with existing and promise preparation of those systems small aneurysms area unit the initial stage of exudates.

scholarly journals Ultra-widefield retinal imaging: an update on recent advances

2020 ◽  
Vol 12 ◽  
pp. 251584141989949
Author(s):  
Samir N. Patel ◽  
Angell Shi ◽  
Turner D. Wibbelsman ◽  
Michael A. Klufas
Keyword(s):  
Prognostic Significance ◽  
Retinal Imaging ◽  
Imaging Systems ◽  
Disease Development ◽  
Retinal Diseases ◽  
Current Interest ◽  
Vein Occlusion ◽  
Recent Advances ◽  
Pediatric Retina ◽  
Potential Biomarkers

The development of ultra-widefield retinal imaging has accelerated our understanding of common retinal diseases. As we continue to validate the diagnostic and prognostic significance of pathology in the retinal periphery, the ability to visualize and evaluate these features in an efficient and patient-friendly manner will become more important. Current interest in ultra-widefield imaging includes the development of potential biomarkers of disease progression and indicators of preclinical disease development. This article reviews the current ultra-widefield imaging systems and recent advances in their applications to clinical practice with a focus on diabetic retinopathy, retinal vein occlusion, uveitis, and pediatric retina.

scholarly journals Automated fundus image quality assessment and segmentation of optic disc using convolutional neural networks

2020 ◽  
Vol 10 (1) ◽  
pp. 816 ◽  
Author(s):  
Bhargav Bhatkalkar ◽  
Abhishek Joshi ◽  
Srikanth Prabhu ◽  
Sulatha Bhandary
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Optic Disc ◽  
Private Hospital ◽  
Image Quality Assessment ◽  
State Of The Art ◽  
Retinal Diseases ◽  
Fundus Image ◽  
Fundus Photographs

An automated fundus image analysis is used as a tool for the diagnosis of common retinal diseases. A good quality fundus image results in better diagnosis and hence discarding the degraded fundus images at the time of screening itself provides an opportunity to retake the adequate fundus photographs, which save both time and resources. In this paper, we propose a novel fundus image quality assessment (IQA) model using the convolutional neural network (CNN) based on the quality of optic disc (OD) visibility. We localize the OD by transfer learning with Inception v-3 model. Precise segmentation of OD is done using the GrabCut algorithm. Contour operations are applied to the segmented OD to approximate it to the nearest circle for finding its center and diameter. For training the model, we are using the publicly available fundus databases and a private hospital database. We have attained excellent classification accuracy for fundus IQA on DRIVE, CHASE-DB, and HRF databases. For the OD segmentation, we have experimented our method on DRINS-DB, DRISHTI-GS, and RIM-ONE v.3 databases and compared the results with existing state-of-the-art methods. Our proposed method outperforms existing methods for OD segmentation on Jaccard index and F-score metrics.

scholarly journals Metabolomics in Retinal Diseases: An Update

Biology ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 944
Author(s):  
Xing Li ◽  
Shichang Cai ◽  
Zhiming He ◽  
James Reilly ◽  
Zhihong Zeng ◽  
...  
Keyword(s):  
Tissue Sample ◽  
New Technology ◽  
Significant Proportion ◽  
Quantitative Information ◽  
Age Related Macular Degeneration ◽  
Pathological State ◽  
Retinal Diseases ◽  
Metabolic Dysfunction ◽  
Age Related ◽  
A Cell

Retinal diseases are a leading cause of visual loss and blindness, affecting a significant proportion of the population worldwide and having a detrimental impact on quality of life, with consequent economic burden. The retina is highly metabolically active, and a number of retinal diseases are associated with metabolic dysfunction. To better understand the pathogenesis underlying such retinopathies, new technology has been developed to elucidate the mechanism behind retinal diseases. Metabolomics is a relatively new “omics” technology, which has developed subsequent to genomics, transcriptomics, and proteomics. This new technology can provide qualitative and quantitative information about low-molecular-weight metabolites (M.W. < 1500 Da) in a given biological system, which shed light on the physiological or pathological state of a cell or tissue sample at a particular time point. In this article we provide an extensive review of the application of metabolomics to retinal diseases, with focus on age-related macular degeneration (AMD), diabetic retinopathy (DR), retinopathy of prematurity (ROP), glaucoma, and retinitis pigmentosa (RP).

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