ABCD	Asymmetry, Border, Color Variation and Diameter
ABCDE	Asymmetry, Border, Color Variation, Diameter and Expansion
AD	Adenocarcinoma
ANN	Artificial neural networks
AI-ANN	Artificial intelligence-artificial neural networks
AK	Actinic Keratosis
AUC	Area under the characteristic curve
BoF	Bag-of-features
BCC	Basal cell carcinoma
BK	Benign Keratosis
CAD	Computer aided diagnosis
CAE	Convolutional autoencoders
CNNs	Convolutional neural networks
cCCNs	Combined convolutional networks
CT	Computed tomography
DANs	Deep auto encoders
DF	Dermatofibroma
FCNs	Fully convolutional networks
FCRN	Fully convolutional Residual networks
FCM	Fuzzy-c Mean
FPS	Fourier power spectrum
FP	False positives
FN	False negatives
GVF	Gradient Vector Flow
GAN	Generative adversarial models
GPU	Graphics processing units
GLCM	Grey level co-occurrence matrix
GM	Generalization mean
histo.path	Histopathology
IC	Intraepithelial carcinoma
ILSVRC	ImageNet large scale visual recognition competition
K-NN	K-Nearest neighbor
LBPS	Local binary patterns
LABS	Laboratory retrospective study
LTSM	Long short-term memory
M-CNN	Multi-scale convolutional neural network
MIL-CNN	Multiinstance convolutional neural network
MRI	Magnetic resonance image
mAP	multi class accuracy and mean average prediction
Neg.F	Negative features
OBS	Observational study
PACS	Picture archiving and communication society
Pos.F	Positive features
PCA	Principal component analysis
RBF	Radial basis function
RBM	Restricted Boltzmann’s machine
ReLU	Rectified linear unit
ROC	Receiver operating characteristic curve
ROI	Region of interest
Rsurf	Rotated speeded-up robust features
RNN	Recurrent neural networks
SAE	Stacked autoencoders
SA-SVM	Self-advised support vector machine
SCC	Squamous cell carcinoma
SNR	Signal too noise ratio
SVM	Support Vector Machine
TP	True positives
TN	True negatives
WPT	Wavepacket transform