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Scope

  • Develop an AI based detection systems that can aid radiologists to more rapidly and accurately interpret radiography images to detect COVID-19 cases

Solution

  • Designed the architecture for COVID-19 detection using Convolutional Neural Network(CNN)
  • Prepared Chest Xray images belonging to Normal, Pneumonia and COVID-19.
  • Trained the network, analysed and fine tuned the network performance
  • The model generated after validation and testing, can classify the chest X-Ray images. The solution also shows the heat map visualization of class activation maps for explainability

Benefits

  • Higher detection accuracy (95%) than conventional image processing methods was achieved.
  • Can assist the radiologist and has real time performance