scholarly journals Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 34387-34397 ◽  
Author(s):  
Mohammed Ghazal ◽  
Samr Samir Ali ◽  
Ali H. Mahmoud ◽  
Ahmed M. Shalaby ◽  
Ayman El-Baz
Keyword(s):  
Neural Networks ◽  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Convolutional Neural Networks ◽  
Proliferative Diabetic Retinopathy ◽  
Optical Coherence ◽  
Accurate Detection

scholarly journals Accurate detection of non-proliferative diabetic retinopathy in optical coherence tomography images using convolutional neural networks

2019 ◽  
Author(s):  
Mohammed Ghazal ◽  
Samr Ali ◽  
Ali Mahmoud ◽  
Ahmed Shalaby ◽  
Ayman El-Baz
Keyword(s):  
Neural Networks ◽  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Early Detection ◽  
Transfer Learning ◽  
Convolutional Neural Networks ◽  
Imaging Modality ◽  
Detection Algorithm ◽  
Optical Coherence ◽  
Cad System

AbstractDiabetic retinopathy (DR) is a disease that forms as a complication of diabetes, It is particularly dangerous since it often goes unnoticed and can lead to blindness if not detected early. Despite the clear importance and urgency of such an illness, there is no precise system for the early detection of DR so far. Fortunately, such system could be achieved using deep learning including convolutional neural networks (CNNs), which gained momentum in the field of medical imaging due to its capability of being effectively integrated into various systems in a manner that significantly improves the performance. This paper proposes a computer aided diagnostic (CAD) system for the early detection of non-proliferative DR (NPDR) using CNNs. The proposed system is developed for the optical coherence tomography (OCT) imaging modality. Throughout this paper, all aspects of deployment of the proposed system are studied starting from the preprocessing stage required to extract input data to train the CNN without resizing the image, to the use of transfer learning principals and how best to combine features in order to optimize performance. A novel patch extraction framework for preprocessing is presented, followed by fovea detection algorithm, in addition to investigating the various CNN parameters for optimal deployment. Optimum CNN parameters and promising results are achieved. To the best of our knowledge, this is the first CNN-based DR early detection CAD system for OCT images. It achieves a promising accuracy of 94% with transfer learning.

Detecting papillary neovascularization in proliferative diabetic retinopathy using optical coherence tomography angiography

2016 ◽  
Vol 96 (3) ◽  
pp. 321-323 ◽  
Author(s):  
Maria Cristina Savastano ◽  
Matteo Federici ◽  
Benedetto Falsini ◽  
Aldo Caporossi ◽  
Angelo Maria Minnella
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Optical Coherence Tomography Angiography ◽  
Optical Coherence

scholarly journals Optical coherence tomography angiography of foveal neovascularisation in proliferative diabetic retinopathy

2019 ◽  
Vol 12 (8) ◽  
pp. e230382
Author(s):  
Deven Dhurandhar ◽  
Padmaja Kumari Rani
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Optical Coherence Tomography Angiography ◽  
Imaging Modality ◽  
Diabetic Macular Oedema ◽  
Hypertensive Retinopathy ◽  
Optical Coherence ◽  
Non Invasive

A 52-year-old man, a known case of type 2 diabetes mellitus and hypertension, who presented to us with bilateral diminution of vision since 1 year. He was diagnosed as a case of bilateral proliferative diabetic retinopathy and hypertensive retinopathy. A non-invasive imaging modality, optical coherence tomography angiography (OCTA), detected foveal neovascularisation in a background of diffuse diabetic macular oedema which would have been obscured by other investigations like fluorescein angiography.

scholarly journals Optical Coherence Tomography Features Of Active And Inactive Retinal Neovascularization In Proliferative Diabetic Retinopathy

Retina ◽  
2016 ◽  
Vol 36 (6) ◽  
pp. 1132-1142 ◽  
Author(s):  
Sara Vaz-Pereira ◽  
Javier Zarranz-Ventura ◽  
Dawn A. Sim ◽  
Pearse A. Keane ◽  
Rebecca Smith ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Retinal Neovascularization ◽  
Optical Coherence
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