Deep Learning Techniques for Diabetic Retinopathy Diagnosis using Optical Coherence Tomography: A Review

Diabetic Retinopathy is an eye disease that prevails among patients suffering from diabetic mellitus. Due to high glucose level in blood, the retina of the eye gets affected. Diabetic Retinopathy cause vision loss if left undiagnosed. Regular annual inspection is required for the Diabetic patients to prevent the disease. Optical Coherence Tomography, an non-invasive imaging modality that captures retina with high resolution. Deep learning Algorithms are showing successful solutions regarding medical images examinations. This paper reviews the deep learning methods used for the detection of Diabetic Retinopathy based on Optical Coherence Tomography for past four years. The segmentation of Optical Coherence Tomography images into retinal layer using deep learning methods are also reviewed. The features used for Diabetic Retinopathy classification are also reviewed.