Classification of haemorrhage pathologies on digital fundus images using a combination of neural network and tracking algorithms
نویسندگان
چکیده
Neural network techniques have been demonstrated to be successful at segmenting the retinal vasculature in fundus images; however, occasionally there are cases where a haemorrhage is misclassified as a vessel. The combination of the output from the neural network and information gained from the application of a tracking algorithm, based upon a matched filter, is shown to be a promising technique in reducing misclassifications.
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