CC	Cervical cancer
MRI	Magnetic resonance imaging
T2WI	T2-weighted imaging
AI	Artificial intelligence
DL	Deep learning
CNN	Convolutional neural network
VIT	Vision Transformer
MLP	Multilayer perceptron
SHAP	SHapley Additive exPlanations
FIGO	International Federation of Gynecology and Obstetrics
ROC	Receiver operating characteristic
CI	Confidence interval
SCC	Carcinoma antigen
CA125	Cancer antigen 125
CA19-9	Cancer antigen 19-9
AUC	Area under the curve
ACC	Accuracy
DFS	Disease-free survival
ROI	Region-of-interest
L-Pathway	Large Pathway
S-Pathway	Small Pathway
BERT-CNN	BERT-Convolutional Neural Networks
BERT-DPCNN	BERT-Deep Pyramid Convolutional Neural Networks
BERT-RNN	BERT-Recurrent Neural Network
BERT-RCNN	BERT-Region-based Convolutional Neural Network
Grad-CAM	Gradient-weighted Class Activation Mapping
MSM	Multi-Scale Model
MSM-T	Multimodal model incorporating text
MSM-TC	The final model integrating clinical features