TABLE 1. List of Notations.

Sr.	Notation	Description
1.		Input defined by using softmax
2.		Training dataset
3.		Dropout distribution
4.	T	Number of stochastic forward passes
5.	I = {}	Set of CXRs
6.	Y = {}	Set of parallel labels
7.	i	Convolutional layer
8.		Size of convolution layer
9.		Variational parameters
10.		Bernoulli distribution
11.		Dropout probabilities
12.		Variance
13.		Extraction of features component
14.		Extracts features
15.		Biases at layer