New deep-learning model helps the automated screening of common eye disorders

Automation in disease diagnosis is reliant on deep learning models that can accurately and efficiently identify measurements of tumors, tissue volume, or other sorts of abnormalities. Now, researchers from Tohoku University have unveiled a new, resource-light model capable of identifying many common eye diseases.

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