Retinal Disease Identification by Segmentation Techniques in Diabetic Retinopathy

2017 ◽  
pp. 255-265
Author(s):  
Priyanka Powar ◽  
C. R. Jadhav
Keyword(s):  
Diabetic Retinopathy ◽  
Retinal Disease ◽  
Disease Identification

scholarly journals Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network

ICT Express ◽  
2021 ◽  
Author(s):  
Sinan S. Mohammed Sheet ◽  
Tian-Swee Tan ◽  
M.A. As’ari ◽  
Wan Hazabbah Wan Hitam ◽  
Joyce S.Y. Sia
Keyword(s):  
Neural Network ◽  
Retinal Disease ◽  
Convolution Neural Network ◽  
Disease Identification

scholarly journals Proteomic Analyses of Vitreous in Proliferative Diabetic Retinopathy: Prior Studies and Future Outlook

2021 ◽  
Vol 10 (11) ◽  
pp. 2309
Author(s):  
Sarah R. Weber ◽  
Yuanjun Zhao ◽  
Christopher Gates ◽  
Jingqun Ma ◽  
Felipe da Veiga Leprevost ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Proteomic Analysis ◽  
Retinal Disease ◽  
Vitreous Fluid ◽  
Future Outlook ◽  
Novel Proteins ◽  
Popular Medium ◽  
Molecular Information

Vitreous fluid is becoming an increasingly popular medium for the study of retinal disease. Numerous studies have demonstrated that proteomic analysis of the vitreous from patients with proliferative diabetic retinopathy yields valuable molecular information regarding known and novel proteins and pathways involved in this disease. However, there is no standardized methodology for vitreous proteomic studies. Here, we share a suggested protocol for such studies and outline the various experimental and analytic methods that are currently available. We also review prior mass spectrometry-based proteomic studies of the vitreous from patients with proliferative diabetic retinopathy, discuss common pitfalls of these studies, and propose next steps for moving the field forward.

scholarly journals The Importance of Telemedicine during COVID-19 Pandemic: A Focus on Diabetic Retinopathy

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Raffaele Galiero ◽  
Pia Clara Pafundi ◽  
Riccardo Nevola ◽  
Luca Rinaldi ◽  
Carlo Acierno ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Screening Program ◽  
Retinal Disease ◽  
Interactive System ◽  
Initial Increase ◽  
Training Costs ◽  
Telemedicine Application ◽  
Technological Improvements ◽  
New Evidence ◽  
And Training

Recently, telemedicine has become remarkably important, due to increased deployment and development of digital technologies. National and international guidelines should consider its inclusion in their updates. During the COVID-19 pandemic, mandatory social distancing and the lack of effective treatments has made telemedicine the safest interactive system between patients, both infected and uninfected, and clinicians. A few potential evidence-based scenarios for the application of telemedicine have been hypothesized. In particular, its use in diabetes and complication monitoring has been remarkably increasing, due to the high risk of poor prognosis. New evidence and technological improvements in telemedicine application in diabetic retinopathy (DR) have demonstrated efficacy and usefulness in screening. Moreover, despite an initial increase for devices and training costs, teleophthalmology demonstrated a good cost-to-efficacy ratio; however, no national screening program has yet focused on DR prevention and diagnosis. Lack of data during the COVID-19 pandemic strongly limits the possibility of tracing the real management of the disease, which is only conceivable from past evidence in normal conditions. The pandemic further stressed the importance of remote monitoring. However, the deployment of device and digital application used to increase screening of individuals and monitor progression of retinal disease needs to be easily accessible to general practitioners.

scholarly journals Diabetic Retinopathy: The Role of Mitochondria in the Neural Retina and Microvascular Disease

Antioxidants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 905 ◽  
Author(s):  
David J. Miller ◽  
M. Ariel Cascio ◽  
Mariana G. Rosca
Keyword(s):  
Diabetic Retinopathy ◽  
Vision Loss ◽  
Neurovascular Unit ◽  
Microvascular Disease ◽  
Retinal Disease ◽  
Neural Retina ◽  
Vascular Pathology ◽  
Future Research ◽  
Substrate Selection ◽  
Working Age

Diabetic retinopathy (DR), a common chronic complication of diabetes mellitus and the leading cause of vision loss in the working-age population, is clinically defined as a microvascular disease that involves damage of the retinal capillaries with secondary visual impairment. While its clinical diagnosis is based on vascular pathology, DR is associated with early abnormalities in the electroretinogram, indicating alterations of the neural retina and impaired visual signaling. The pathogenesis of DR is complex and likely involves the simultaneous dysregulation of multiple metabolic and signaling pathways through the retinal neurovascular unit. There is evidence that microvascular disease in DR is caused in part by altered energetic metabolism in the neural retina and specifically from signals originating in the photoreceptors. In this review, we discuss the main pathogenic mechanisms that link alterations in neural retina bioenergetics with vascular regression in DR. We focus specifically on the recent developments related to alterations in mitochondrial metabolism including energetic substrate selection, mitochondrial function, oxidation-reduction (redox) imbalance, and oxidative stress, and critically discuss the mechanisms of these changes and their consequences on retinal function. We also acknowledge implications for emerging therapeutic approaches and future research directions to find novel mitochondria-targeted therapeutic strategies to correct bioenergetics in diabetes. We conclude that retinal bioenergetics is affected in the early stages of diabetes with consequences beyond changes in ATP content, and that maintaining mitochondrial integrity may alleviate retinal disease.

Computer-aided Analysis of Fundus Photographs

2011 ◽  
Vol 05 (02) ◽  
pp. 104
Author(s):  
Luisa Ribeiro ◽  
Rui Bernardes ◽  
José Cunha-Vaz ◽  
◽  
◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Imaging Modality ◽  
Retinal Disease ◽  
Automated Analysis ◽  
Fundus Photography ◽  
Individual Risk ◽  
Invasive Procedures ◽  
Non Invasive ◽  
Computer Aided Analysis ◽  
Computer Aided

Colour fundus photography is the most frequently used imaging modality because it is non-invasive, well accepted by patients and above all, because it allows documentation and automated analysis of the ophthalmoscopic examination. Colour fundus photography is considered crucial for diabetic retinopathy management to identify disease and its progression in clinical practice. This article focuses on automated computer-aided analysis of fundus digital photographs with special emphasis on microaneurysm dynamics. Together with optical coherence tomography measurements of extracellular space and retinal thickness, both based on non-invasive procedures, this technique allows close follow-up of the main changes in the diabetic retina. Determination of the activity of the retinal disease and individual risk profiles using these non-invasive procedures contribute to personalised management of diabetic retinopathy by identifying eyes at risk from vision-threatening complications, such as macular oedema and proliferative retinopathy.

The Blood–Retinal Barrier in Retinal Disease

2009 ◽  
Vol 03 (02) ◽  
pp. 105 ◽  
Author(s):  
José Cunha-Vaz ◽  
Keyword(s):  
Diabetic Retinopathy ◽  
Tight Junctions ◽  
Retinal Pigment ◽  
Water Flux ◽  
Retinal Disease ◽  
Retinal Pigment Epithelial Cells ◽  
Age Related Macular Degeneration ◽  
Retinal Diseases ◽  
Blood Retinal Barrier ◽  
Age Related

The blood–ocular barrier system is formed by two main barriers: the blood–aqueous barrier and the blood–retinal barrier (BRB). The BRB is particularly tight and restrictive and is a physiological barrier that regulates ion, protein and water flux into and out of the retina. The BRB consists of inner and outer components, the inner BRB being formed of tight junctions between retinal capillary endothelial cells and the outer BRB of tight junctions between retinal pigment epithelial cells. The BRB is essential to maintaining the eye as a privileged site and is essential for normal visual function. Alterations of the BRB play a crucial role in the development of retinal diseases. The two most frequent and relevant retinal diseases, diabetic retinopathy and age-related macular degeneration (AMD), are directly associated with alterations of the BRB. Diabetic retinopathy is initiated by an alteration of the inner BRB and neovascular AMD is a result of an alteration of the outer BRB. Treatment of retinal diseases must also deal with the BRB either by using its specific transport mechanisms or by circumventing it through intravitreal injections

scholarly journals DIABETIC RETINOPATHY;

2018 ◽  
Vol 25 (08) ◽  
pp. 1256-1260
Author(s):  
Nasir Ahmad Chaudhary ◽  
Samreen Hameed ◽  
Muhammad Sultan Ul Moazzam ◽  
Sarmad Zahoor ◽  
Sidrah Latif ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Predictive Value ◽  
Tertiary Care ◽  
Retinal Disease ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Retinal Examination ◽  
Tertiary Care Hospitals ◽  
Hba1c Levels

Background: Diabetic retinopathy is one of the most common complications ofdiabetes affecting more than 1/4th of the diabetics and is also the leading cause of blindness inmany parts of the globe. Regular fundoscopic examination for screening is a routine practicein tertiary care hospitals but is not available in the primary care centers. This necessitatesthe development of a reliable screening tool which will allow for early referral of those withcomplications to the specialist centers. Objective: To determine the predictive value of HbA1clevels for the presence of diabetic retinopathy. Study Design: A cross-sectional study. Setting:Diabetic Clinic of Mayo Hospital, Lahore. Period: 04 months, January to April 2017. Method:75 diabetic patients who presented in Diabetic clinic were investigated for HbA1c levels andfundoscopic evaluation was done to detect retinal changes. Results: Out of 75 patients, 35(46.7%) were female, 40 (53.3%) were male. Median age of the patients was 51 years. All patientshad HbA1c levels more than 6.0% and 62% patients had detectable changes on fundi while therest had no detectable retinal disease despite elevated HbA1c levels. Positive predictive value(PPV) of elevated HbA1c levels for the presence of diabetic retinal changes was calculated tobe 62.66%. Conclusion: All the patients who had retinal disease on fundoscopy had HbA1clevels of more than 6.0% (PPV = 62.66) which means that elevated HbA1c levels warrant afundoscopic retinal examination to rule out diabetic retinopathy.

scholarly journals Deep Learning based Method for Multi-class Classification of Diabetic Retinopathy

2021 ◽  
Vol 2 (2) ◽  
pp. 1-5
Author(s):  
Komal Damodara ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Deep Learning ◽  
Blood Sugar Level ◽  
Retinal Disease ◽  
Fundus Imaging ◽  
Retinal Blood Vessels ◽  
The World ◽  
Multi Class Classification

Diabetes mellitus is a form of diabetes with secondary microvascular complication leading to renal dysfunction and retinal loss also termed as diabetic retinopathy. Retinopathy is grave form of retinal disease. It is the leading cause of blindness in the world. Blockage of tiny minute retinal blood vessels due to the high blood sugar level is the reason why retinopathy leads to blindness or loss of vision. This study serves the purpose of deep learning-based diagnosis of Diabetic retinopathy using the fundus imaging of the eye. In this study architectures such as VGG 16 and VGG 19 are deployed in order to classify the images into 5 categories. The performance of the two models were compared. The highest accuracy is 77.67% when using the VGG 16 pre-trained model.

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