Covid Chest Xray Classification

• The main goal of this project is to classify Chest X-ray Images of patients for COVID-Positive and Negative as correctly as possible.
• Built a Convolution Neural Network using Pytorch to predict the condition of the patients (COVID Positive or Negative).
• I have used the dataset from the IEEE Github Repository of Covid Chest Xray Dataset.The link to the dataset is given here.

Requirements

• If you don't have python installed on your machine download it from here
• Then install pip on your machine by downloading this get-pip.py and from the downloads directory and run python get-pip.py
• To start working on the project run the following command after cloning the repository.

pip install -r requirements.txt

• I suppose Anaconda is already installed in the machine. Then run the following command

conda install pytorch torchvision -c pytorch

This would install all the requirements.

Output

• The dataset contains majority of images of Chest X-rays of patients
• If we train the data as it is, our model will be biased.
• So,Did preprocessing of the dataset.
• Trained the model with Preprocessed Data.
• Here is a snapshot of the output
• For detailed report See Report in the repository.