The loss curve in (a) shows the trend of the loss value of the model in the training process, as can be seen from the visualization; with an increase in the number of iterations, the fluctuation of the loss value is gradually reduced until it stabilizes, and the loss value shows a decreasing trend as a whole, which indicates that the model is gradually optimized for convergence in the learning process, and its performance has been improved.
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Dual-Branch Network with Hybrid Attention for Multimodal Ophthalmic Diagnosis.
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