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This paper deals with a new algorithm for automatic edge detection of retinal structures on angiographic frames. Usually, the determination of these structures and their accurate locations are based on a manual mapping wich is time consuming, tedious and not error-free. Computer image processing allows to automate the mapping and increases the reliability of extracted parameters. Therefore, we realize...
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