项目作者: sudo-rajarshi

项目描述 :
Retinal Disease Classification using Optical Coherence Topographical Scans
高级语言: Jupyter Notebook
项目地址: git://github.com/sudo-rajarshi/Retinal-Disease-Classification-using-Optical-Coherence-Topographical-Scans.git


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!