Develop an AI based detection systems that can aid radiologists to more rapidly and accurately interpret radiography images to detect COVID-19 cases
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
Higher detection accuracy (95%) than conventional image processing methods was achieved.
Can assist the radiologist and has real time performance
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