1. Neural Networks to Classify Diabetic Retinopathy
... developed specialized smartphone software and hardware to screen for diabetic retinopathy through the development of an image-processing algorithm, smartphone application, and attachment. We used Residual Networks coupled with the cyclic pooling technique for data refinement to train on 35,126 retinal images. Following 161 epochs of training, we were able to diagnose diabetic ... should make diagnosis much more accessible around the world, especially in disadvantaged communities and developing countries. A support vector machine (SVM), a type of binary classifier related to neural netwo...
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- Grade Level: Graduate