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A machine learning enabled system to generate quick, accurate, and reliable diabetic retinopathy prediction

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Fixels

Fixels is an application that aims to give quick diabetic retinopathy prediction based on retinal images. We trained a convolutional neural network on top of kaggle public datasets and messidor private datasets. The trained model then became nothing but the heart of our application.

Technology

In fixels, we use a python server with all the machine learning related modules including keras and tensorflow to train our model and generate prediction based on that model. For the client-side, it's a simple web application built using react and typescript for now. We are planning to develop the mobile version in the future.

Presentation and report

See our presentation here, and our report here.

Other contributors

Fernando Julio Cendra

Edward Suryajaya

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A machine learning enabled system to generate quick, accurate, and reliable diabetic retinopathy prediction

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