The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Diabetic retinopathy is the major cause of blindness and the appearance of hard exudates is one of its earliest signs. In this study, an automated algorithm to detect and grade the severity of hard exudates is proposed. The detection process is based on top-down image segmentation and local thresholding by a combination of edge detection and region growing. Using features of the fovea and their geometric...
The detection and quantification of exudates can contribute to the mass screening of the diabetic retinopathy, the major cause of blindness. In this work, we outline detection techniques of the main retinal structures, namely the blood vessels, optic disk and fovea. A new method for the detection of exudates using adaptive thresholding and classification is proposed in which the retinal structures...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.