CLASSIFICATION AND DETECTION OF COVID-19 IN LUNG ULTRASOUND USING DEEP LEARNING

Using deep learning techniques lung ultrasonography (LUS) images are analyzed instead of CT scan images for COVID-19 detection. The severity of the disease is found at the pixel level and frame level. Every pixel of image will be classified with the help of semantic segmentation network resulting in the detection of COVID part in the input image. When compared to the existing method this proposed method can give better classification.