Detect Covid-19 In X-Ray Images

This projects aims to detect Covid-19 using Deep Learning in x-ray images. Initially, VGG-16 convolutional neural network is used to perform this classification task. In the future the perfromance of other neural networks will be studied.

Python libraries used:

• Tensorflow
• Keras
• Open CV
• Scikit Learn
• Numpy
• Matplotlib

Dataset sources:

• For x-ray images labeled 'covid': https://github.com/ieee8023/covid-chestxray-dataset by Dr. Joseph Cohen
• For x-ray images labeled 'normal': https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Results:

• Accuracy: 0.90

• Sensitivity: 0.80

• Specificity: 1.00

• Classification report:

          precision    recall  f1-score   support
  
   covid       1.00      0.80      0.89     5
   
  normal       0.83      1.00      0.91     5
  
  accuracy                         0.90     10
  macro avg    0.92      0.90      0.90     10
  weighted avg 0.92      0.90      0.90     10
  

Installation of dependencies:

pip install -r installation/requirements.txt