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Detecting covid19 positive radiologies among normal and viral pneumonia using deep learning library Pytorch

License: MIT License

Jupyter Notebook 100.00%
pytorch-implementation pytorch-cnn covid-19 covid19 jupyter-notebook

detecting-covid19's Introduction

Detecting Covid19 using Chest Radiology and Pytorch

Classifying data as Normal, Viral Pneumonia and COVID-19 using pytorch and resnet50 pretrained model Link to dataset :https://www.kaggle.com/tawsifurrahman/covid19-radiography-database

Note

This must not be used to examine actual covid-19 xray scans or for any other medical purposes.
It is solely intended for educational purpose only.
Recommanded to use Google Colab to skip requirements error and use free gpu/tpu.

Importing notebook into Colab

  • Open colab from above provided link.
  • A pop window opens containing several tabs, select the one which says Github.
  • Enter the repo url https://github.com/rtharungowda/Detecting-Covid19 and click on search.
  • The notebook will appear under the results select and run.
  • The notebook cannot be modified as it is, hence please create a copy of it in your drive.

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