From Figure 4 , it could be seen that as the training progresses, both the training loss and validation loss exhibited a decreasing trend and gradually stabilized, indicating that the model performs consistently on both the training and validation datasets and has good generalization ability.
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Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study.
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