PSLs |
pigmented skin lesions |
CAD |
Computer-Aided Diagnosis |
DT |
Decision Tree |
DL |
Deep Learning |
PDFFEM |
Pigmented deep fused features extraction method |
LDA |
Linear Discriminant Analysis |
CNN |
Convolutional Neural Network |
TL |
Transfer Learning |
ML |
Machine Learning |
SVM |
support vector machine |
KNN |
k-nearest neighbor |
NN |
Neural Network |
ResNet |
Residual Network |
DCNN |
Deep convolutional neural network |
FixCaps |
Improved Capsule network |
LSTM |
Long short-term memory |
ACC |
Accuracy |
SE |
Sensitivity |
AUC |
area under the receiver operating characteristic curve |
MCC |
Matthew’s correlation coefficient |
SP |
Specificity |
PR |
Precision |
RC |
Recall |
M |
millions |
SGD |
Stochastic gradient descent |
RMSprop |
Root mean square propagation |
Adagrad |
Adaptive gradient algorithm |
Adadelta |
An extension of Adagrad |
Adam |
Adaptive moment estimation |
AdaMax |
A variant of Adam |
Nadam |
Nesterov-accelerated adaptive moment estimation |
MS |
Milliseconds |
CPU |
Central processing unit |
GPU |
Graphical processing unit |
TPU |
Tensor Processing units |
CA |
Channel-wise attention |
FLOPs |
Floating-point operations |
AKIEC |
Actinic keratoses |
BCC |
Basal cell carcinoma |
BKL |
Benign keratosis |
DF |
Dermatofibroma |
NV |
Melanocytic Nevi |
MEL |
Melanoma |
VASC |
Vascular Lesion |