Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion

Table 3

Parameters of models.

Model	Parameter	Value
Segmentation model	Batch size	16
	Epoch	100
	Loss function	BCEWithLogitsLoss
	Optimizer	Adam
	Learning rate	10^−3
False positive screening model	Batch size	128
	Epoch	200
	Learning rate	5 ^∗ 10^−3
	Loss function	Cross-entropy loss
	Optimizer	SGD
Decision tree model	Criterion	“Gini”
	Class_weight	“Balanced”
	Splitter	“Best”