/COVID-Detection

Covid and other pulmonary infections detection from Radiographic image using pytorch and flask

Primary LanguageJupyter Notebook

COVID-Detection

Covid and other pulmonary infections detection from Radiographic image using pytorch and flask

The main objective of this project is to classify the given radiographic (x-ray) image into four categories :

  1. Normal
  2. Covid
  3. Lung Opacity
  4. Pneumonia

Necessary Dependencies

1. Pytorch

-> We can install pytorch from their official website: https://pytorch.org/get-started/locally/

2. Flask

-> Command to install flask : 'pip install flask'

You can make virtual environment in your anaconda navigator and install the necessary libarires there.

A pretrained Resnet architecture is used to train the model. The model is trained on about 22-23 thousand radiographic image. Know more about the resnet architecture : https://towardsdatascience.com/an-overview-of-resnet-and-its-variants-5281e2f56035

Dataset

https://www.kaggle.com/preetviradiya/covid19-radiography-dataset