H&E	Hematoxylin and eosin
CAD	Computer-aided diagnosis
CNN	Convolutional neural network
xAI	Explainable artificial intelligence
CAM	Class activation mapping
Grad-CAM	Gradient-weighted class activation mapping
LIME	Local interpretable model-agnostic explanations
UCSB	Breast cancer dataset
CR	Colorectal cancer dataset
LG	Liver tissue dataset
OED	Oral epithelial dysplasia dataset
SGDM	Stochastic gradient descent
F	Fractal techniques
D	DenseNet-121
E	EfficientNet-b2
I	Inception-V3
R	ResNet-50
V	VGG-19
$D_{CAM}$	Grad-CAM representation via DenseNet-121
$E_{CAM}$	Grad-CAM representation via EfficientNet-b2
$R_{CAM}$	Grad-CAM representation via ResNet-50
$I_{CAM}$	Grad-CAM representation via Inception-V3
$V_{CAM}$	Grad-CAM representation via VGG-19
$D_{LIME}$	LIME representation via DenseNet-121
$E_{LIME}$	LIME representation via EfficientNet-b2
$I_{LIME}$	LIME representation via Inception-V3
$R_{LIME}$	LIME representation via ResNet-50
$V_{LIME}$	LIME representation via VGG-19
VP	True positives
VN	True negatives
FP	False positives
FN	False negatives