Methods of Data Imputation
Carson Howells
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Imputation is the process of filling in missing values in data sets. This project is exploring which method of data imputation is best for different data types.
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Deep Learning Classification of Retina Images: Detecting Diabetic Retinopathy
Mikolaj Wieczorek
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Diabetic retinopathy (DR) is a common eye disease that causes vision loss for people with diabetes. It is one of the fastest growing causes of preventable blindness, and about 45% of Americans diagnosed with diabetes have some stage of DR. As the disease has no symptoms in early stages and treatments begin after the vision is already somewhat affected, early detection is of pivotal value to diabetic patients. The aim of this project is to build a deep learning classification model that could assist in early detection and severity grading of DR. The final results are obtained by implementing a Dense Convolutional Network Architecture model that yields 98% classification accuracy. Further study is being considered with application of larger training data and to deploy the final model as a web app.
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