Visionquest Biomedical LLC

Trilce Estrada

Peter Soliz

Jeremy Benson

Embodiments of the present invention provide a system and method to automatically screen images from a plurality of fundus cameras for a plurality of retinal diseases. The system comprises stacked autoencoders, amplitude modulation-frequency modulation filters, and artificial neural networks. An embodiment of the present invention uses a multi-class classifier, such as a support vector machine (multi-class SVM) classifier, to determine a plurality of retinal pathologies. An exemplary embodiment of the present invention is validated on a proprietary database of thousands of images (for example over 250,000 retinal images) from multiple cameras, ranging from the table-top fundus cameras to portable hand-held cameras.

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Albuquerque, NM, United States of America

Trilce Estrada