Abstract
The objective of this research is to provide an ophthalmologist with a helpful system, capable of classifying a degree of patients' retinal hemorrhage. The system is composed of four modules: (a) data acquisition module, (b) image Database module, (c) image processing module, (d) image classification module. The system was trained with a modular neural network on a set of 25 images, and tested on a set of 160 images. A training performance of greater than 95% was achieved. The classifying part of the system showed 79% recognition accuracy. Since the testing images were taken from independent sources, we assume that the system should also provide an accurate classification of other image types.
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Aleynikov, S., Micheli-Tzanakou, E. Classification of Retinal Damage by a Neural Network Based System. Journal of Medical Systems 22, 129–136 (1998). https://doi.org/10.1023/A:1022695215066
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DOI: https://doi.org/10.1023/A:1022695215066