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COVID Detection using Deep Learning
0
Zitationen
5
Autoren
2022
Jahr
Abstract
COVID-19 is a rapidly spreading pandemic, with the first cases being discovered in December 2019 Wuhan, China. CT scan images of the patient's lung are used where CNN algorithm is implemented. A comparative study of two more CNN models are used to evaluate this model (Resnet). The proposed model (Resnet) is capable of accurately predicting illness with an accuracy of 95.74%. This model can distinguish between covid, pneumonia, and normal CT scan pictures. Alexnet, Resnet, and Xception methods are utilised to compare the trained model to the input photos. Its then used to forecast the outcome. COVID/PNEUMONIA will be informed to the user through SMS based on CT scan findings. Result, availability of beds in the users' immediate vicinity, and hospital recommendations will be sent as an sms to the user.
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