A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications

Table 2

The best achieved results of MAE mm for 3D lung tumor motion prediction with uncontrolled respiration and the setups for QNU and MLP architectures (MLPs (Figure 3) were investigated for .

Architecture	Learning					Epochs 0	Epochs	MAE mm	(MAE) mm	sps	Count of trials
QNU	MLM	90	30	15		800	8	0.987	0.001	16.05	42
MLP	LM	180	30	15	0.01	800	8	1.034	0.033	3.11	150
	MLM	270	60	30	0.01	800	8	1.041	0.039	1.76	90