Retinal-Disease-Classification-using-Optical-Coherence-Topographical-Scans

This is a multiclass classification of different retinal disease like-

1. Choroidal neovascularization (CNV)
2. Diabetic macular edema (DME)
3. Drusen
4. Normal Condition.

Using advanced image processing and deep learning algorithms the results of the classification are-

1. Training Accuracy = 99.91 %

2. Validation Accuracy = 95.92 %

3. Test Accuracy = 96.52 %

4. Sensitivity = 99.13 %

5. Specificity = 97.95 %

Read the paper at https://ieeexplore.ieee.org/document/9276708

Run in your machine:

• git clone https://github.com/sudo-rajarshi/Retinal-Disease-Classification-using-Optical-Coherence-Topographical-Scans.git
• cd Retinal-Disease-Classification-using-Optical-Coherence-Topographical-Scans
• pip3 install -r requirements.txt
• Open jupyter notebook and enjoy!