Correspondence to Dr Michael J A Girard, Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore; mgirard{at}nus.edu.sg Glaucoma is a result of irreversible ...
ABSTRACT: Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for retinal disease diagnosis. However, manual interpretation of OCT images is time-consuming, ...
Correspondence to Dr Sharon Fekrat, Department of Ophthalmology, Duke University, Durham, NC 27708-0187, USA; sharon.fekrat{at}duke.edu Background/Aims To develop a convolutional neural network (CNN) ...
Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...
Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
Abstract: Machine Learning (ML) such as Artificial Neural Network (ANN), Deep learning, Recurrent Neural Networks (RNN), Alex Net, and ResNet can be considered as a broad research direction in the ...
Abstract: Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina, which may be caused by several retinal disorders, and can lead to loss of vision. Optical ...
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