Table 2.

A list of abbreviations with the corresponding definitions used in this survey.

Abbreviation	Definition	Abbreviation	Definition
ML	Machine Learning	DL	Deep Learning
ACS	American Cancer Society	MIA	Medical Image Analysis
AI	Artificial Intelligence	DIP	Digital Image Processing
HC	Hand Crafted	CT	Computed Tomography
ERUS	Endorectal Ultrasound	CTC	Computed Tomography Colonoscopy
PET	Positron Emission Tomography	CRC	Colorectal Cancer
CAD	Computer-Aided Diagnosis	CBIR	Content Based Image Retrieval
PACs	Polycyclic Aromatic Compounds	WSIs	Whole-Slide Images
CNN	Convolutional Neural Network	MMR	Mismatch Repair
PCNSL	Primary Central Nervous System Lymphomas	FDG	Fluoro-2-Deoxy-d-Glucose
GlaS	Gland Segmentation	KID	Kent Integrated Dataset
NBI	Narrow-Band Imaging	TP	True Positive
FP	False Positive	TN	True Negative
FN	False Negative	FPR	False positive rate
PPV	Positive Predictive Value	ROC	Receiver Operating Characteristic
H&E	Hematoxylin Eosin	LBP	Local Binary Patterns
SIFT	Scale Invariant Feature Transform	HOG	Histogram Of Gradient
GBM	Glioblastoma	SVM	Support Vector Machine
OMIS	Opto-magnetic Imaging Spectro-scop	WCE	Wireless Capsule Endo-scop
ROI	Region of Interest	SGLDM	Spatial Gray Level Dependence Matrices
2DReCA	Two-dimensional entropy with a Cultural Algorithm	KNN	K-Nearest Neighbor
HSI	Hyper-Spectral Imaging	LDA	Linear Discriminant Analysis
MLP	Multi-Layer Perceptron	RF	Random Forest
GLCM	Gray Level Co-occurrence Matrix	ANN	Artificial Neural Network
QDA	Quadratic Discriminant Analysis	CDT	Decision Tree
NLP	Natural Language Processing	TCGA	The Cancer Genome Atlas
R-CNN	Region-based Convolutional Neural Network	SSD	Single Shot Multi-Box Detector
RNN	Recurrent Neural Network	PCA	Principal Component Analysis