EyeAI

Proliferctive Diabetic Retinopthy
Glaucoma
Normal

Inspiration

Diabetic Retinopathy and Glaucoma are the leading causes of blindness all around the globe. In countries like India there's drastic shortage of more than 100,000 eye doctors and just 6 million of the 72 million diabetics are screened for eye disease.

Both of My parents are ophthalmologist and they work at a organization called Aravind Eye Hospital. The organizations key vision and mission:

Provide compassionate and quality eye care affordable to all
Extending the reach of quality eye care to the poor and needy – through active community involvement, screening camps, and IT enabled Vision Centres in rural areas.

So I believe we can develop AI models to fill the gap and improve health care in rural India.

So the objective is to use pytorch to train two models

Classification model for Diabetic Retinopathy diagnosis
Segmentation model to compute cup to disc ratio for Glaucoma diagnosis

What it does

One system for diagnosing both Diabetic retinopathy and Glaucoma.
Predict diabetic retinopthy with very high accuracy
Compute Cup to disc ratio with very accurate segmentation mask

How I built it

The is project is based on Pytorch

I trained the diabatic retinopathy classification model using Fastai
I trained the cup to disc segmentation model using pytorch -I built the backend using flask

Challenges I ran into

Creating the Web App was the biggest challenge, even though it is a simple app I did not have much knowledge in web dev so it was challenging and I did not have a lot of time left.