Table 1.

Main results with ResNet18 as the backbone

Method	Add. Info	Accuracy	Precision	Recall	F1 score
Baseline	–	0.9435	0.9588	0.9144	0.9357
Gender	Encoded gender	0.9493	0.9571	0.9300	0.9432
Age	Encoded age	0.9643	0.9680	0.9532	0.9600
Gender & age	Encoded gender and age	0.9612	0.9652	0.9481	0.9566
LDH	LDH value	0.9489	0.9595	0.9262	0.9423
ALP	ALP value	0.9635	0.9704	0.9481	0.9591
ALP&LDH	ALP and LDH value	0.9643	0.9662	0.9538	0.9599
All	All the above information	0.9719	0.9826	0.9549	0.9685

The baseline method is the network without any additional information, by adding different combinations of basic information (gender and age) of patients and biochemical information (LDH and ALP value). The best result for each metric (column) is highlighted in bold. The average performance of our fusion network consistently surpasses that of the baseline