COVID 19 Detection Using Deep Learning Techniques

Abstract

It is always desirable to detect an epidemic/pandemic in a timely and accurate manner in order to prevent its spread. There can be several approaches to detecting any illness, including deep learning models. Transparency/interpretability of a deep learning model's reasoning process in relation to health science, on the other hand, is a must. As a result, we provide Gen-ProtoPNet, an interpretable deep learning model.The distance function L2 and prototypes of spacial dimension 1 1 are used in the last two models. In our approach, we employ an extended version of the distance function L2 that allows us to categorise an input using prototypes of any sort of spatial dimension, such as square and rectangular dimensions. . Domain – Deep Learning