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covid-detection-from-cxr-scans-using-deep-multi-layered-cnn's Introduction

Covid-Detection-from-CXR-Scans-using-Deep-Multi-layered-CNN

This is a multiclass classification of different disease related to Chest X-Ray like-

  1. Severe Acute Respiratiory Syndrome Corona Virus 2 (SARS-CoV-2) or COVID-19
  2. Pneumonia
  3. Normal Condition.

Using advanced image processing and deep learning algorithms the results of the classification are-

  1. Training Accuracy = 99.5 (±0.001) %

  2. Validation Accuracy = 97.6 (±0.011)%

  3. Test Accuracy = 99.1%

  4. Sensitivity = 98.8 %

  5. Specificity = 99.4%

Read the paper at https://ieeexplore.ieee.org/document/9332210

Run in your machine:

  • git clone https://github.com/sudo-rajarshi/Covid-Detection-from-CXR-Scans-using-Deep-Multi-layered-CNN.git
  • cd Covid-Detection-from-CXR-Scans-using-Deep-Multi-layered-CNN
  • pip3 install -r requirements.txt
  • Open jupyter notebook and enjoy!

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