Detecting COVID-19 in X-ray images with deeplearning using keras and tensorflow, Image classification.

This notebook was ran on google collab. As My gtx1050ti was unable to handle it.

Tensorflow 2.xx
Keras
h5py

1. The dataset:
   1. The COVID-19 X-ray image dataset we’ll be using for this solution was curated by Dr. Joseph Cohen, a postdoctoral fellow at the University of Montreal.
      
   2. For healthy X-ray, we shall use Kaggle’s Chest X-Ray Images (Pneumonia) dataset and sampled X-ray images from healthy patients.
2. Pre-processing
   1. Extract the class label (either covid or normal) from the path
   2. Load the image, and pre-process it by converting to RGB channel ordering.
   3. Resizing the images to 224×224 pixels so that it is ready for our Convolutional Neural Network.
3. Model
   1. We used VGG16 model, along with our own model.
   2. Transfer learning, we initialized our model's top 2 convolutional layer's bais and weights of that of VGG16
4. RESULT
   1. On paper we got 98 % training and val accuracies BOTH,
      Which is hard to believe as we only had 115 images of covid 19 positive patients.
   2. Test and training accuracies and losses
      

Just USE the notebook I don't not recommend using the .py file .
I don't know what happens when you run the .py file.
Structure of folders is as uploaded

python covid19.py #ALTHOUGH I DON'T RECOMMEND BECUASE IT IS CONVERTED FROM .ipynb

You should get a trained model and a results plot at the end of the script.

. Download
contact me at [email protected]