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Project #7 Prediction of Keratoconus Progression Using Artificial Neural Networks

Project Power in Numbers

TÜBİTAK 2209-A Undergraduate Student Project

Funder

₺ 9,000

Grant Secured

1

Bursary Student(s)

Using AI algorithms for predicting keratoconus progression

The most common reason for corneal transplants in the developed world is keratoconus. However, progression of keratoconus can easily be prevented or slowed down using corneal cross-linking (CXL) therapy. Predicting the progression of keratoconus in the clinic is an important need; therefore, an attempt will be made to develop a Convolutional Neural Network (CNN) algorithm that can predict keratoconus progression.

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