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Macular edema (ME) is trending to be an increasing disease among the working adult group that causes retinal swelling within sub-retinal layers due to accumulation of protein deposits. Optical coherence tomography (OCT) imaging technique gives a complete cross-sectional view of the retina and helps in early detection of ME. In this paper, we explore different techniques for accurate and reliable segmentation...
This paper addresses the problem of automatic classification of OCT images for identification of patients with DME versus normal subjects. In this paper a relativity simple and practical approach is proposed to exploit the information in OCT images for a robust classification of Diabetic Macular Edema (DME) using coherent tensors. From the retinal OCT scan top and bottom layers are extracted to find...
Driver safety systems protect driver from accidents by sensing signs of drowsiness. The main aim of this paper is to propose such technique that can detect the signs of drowsiness and make corresponding decisions to make him alert. This paper presents a technique in which the driver will be continuously monitored by a camera and his eyes, head and mouth movements will be observed. If the drowsiness...
Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on...
Macular diseases tend to damage macula within human retina due to which the central vision of a person is affected. Macular edema (ME) and central serous retinopathy (CSR) are two of the most common macular diseases. Many researchers worked on automated detection of ME from optical coherence tomography (OCT) and fundus images, whereas few researchers have worked on diagnosing central serous retinopathy...
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