ERCP	endoscopic retrograde cholangiopancreatography
CE-CT	contrast-enhanced computed tomography
MRI	magnetic resonance imaging
T1WI	T1-weighted imaging
T2WI	T2-weighted imaging
DWI	diffusion-weighted imaging
CEUS	contrast-enhanced ultrasonography
ADC	apparent diffusion coefficient
VEGF	vascular endothelial growth factor
MVD	microvessel density
AP	arterial phase
PVP	portal venous phase
18F-FDG PET/CT	18F-fluorodeoxyglucose positron emission tomography/computed tomography
CA 19-9	carbohydrate antigen 19-9
NLR	neutrophil-to-lymphocyte ratio
SBRT	stereotactic body radiotherapy
qRT-PCR	quantitative real-time PCR
DL	deep learning
LASSO	least absolute shrinkage and selection operator
RF	random forest
SVM	support vector machine
ANN	artificial neural network
MFF	multilayer feature fusion module
SRB	stationary residual block
CRAM	convolutional block attention module
LR	logistic regression
SGD	stochastic gradient descent
NN	neural network
t-SNE	t-distributed stochastic neighbor embedding
ADB	AdaBoost
SGB	stochastic gradient boosting
KNN	K-nearest neighbors
CNN	convolutional neural network
MLP	multilayer perception
DT	decision tree
LSTM	long short-term model
GRUs	gated recurrent units
SNN	shared nearest neighbor
UMAP	uniform manifold approximation and projection
XGBoost	extreme gradient boosting
mRMR	maximum relevance minimum redundancy
GBM	gradient boosting machine
CART	classification and regression tree
LDA	linear discriminant analysis
QDA	quadratic discriminant analysis
PCA	principal component analysis
SVD	singular value decomposition
RNN	recurrent neural network
JMI	joint mutual information
SKB	select K best-using analysis of variance
PCR	principal components regression
BGLM	Bayesian estimation in generalized linear model
ICC	intrahepatic cholangiocarcinoma
ECC	extrahepatic cholangiocarcinoma
HCC	hepatocellular carcinoma
PHC	perihilar cholangiocarcinoma
cHCC-CCA	combined hepatocellular cholangiocarcinoma
AURPC	area under the receiver operating characteristics curve
AUC	area under the curve
NPV	negative predictive value
PPV	positive predictive value.