Convolutional Neural Network-based Stage Wise Classification of COVID Affected Lung CT Images

Coronavirus disease is a contagious illness that mostly affects the lungs. Almost every continent has been infected with this virus. Countries are rushing to screen and treat people effectively in order to stop the spread of the condition. To identify patients with inflammation, the a test that uses reverse transcriptase chain reaction (RT PCR) employed. Due to PCR kits are in short deliver because of excessive demand, radiographic tactics including X rays and CT scans can be employed for pathological purposes. The early COVID 19 categorization will aid patients and physicians in scheduling appointments and making decisions. The proposed method intends to categorise COVID 19 sufferers lung CT images into normal, moderate, and final stages, using data from kaggle for stage-by-stage classification and prediction of COVID stage following classification. For lung CT scan pictures, this model is based on CNN, data augmentation, and resizing is done for better training, and the suggested model's maximum accuracy is up to 90%, F1 score is 96, and precision is up to 96. This suggested study can be used in the medical profession to assist doctors and COVID patients in the stage-by-stage categorization of pneumonia.