Table 2.

Notations list.

Symbol	Description	Symbol	Description
$M$	Convolutional layer's quantity	$P$	Hospital areas
$M_{all}$	The overall number of parameters	$R^{\prime }$	Data record
$M_{tra}$	The number of parameters for a normal CNN	$s$	Sensitivity
S	Size of the convolutional kernel	$S_{TP}$	Sum of all True positives
	The number of in$c_{lnput}$put channels	$A_{FP}$	All false positives
$c_{output}$	The number of output channels	$A_{FN}$	All false negatives
$R$	Ratio	TN	True negatives
A	Accuracy	P	Precision
n	No. of images correctly classified	$R{e}_{Call}$	Recall
T	Total no. of images	MCC	Matthews Correlation Coefficient
$q_{max}$	The input image's maximum intensity values	$q_{min}$	The input image's minimum intensity values
$W_s$	The training set	$S_s$	The classifier to be constructed