Throughout the training process, both training and validation loss metrics exhibited a decreasing trend across epochs, reflecting the model’s enhanced predictive ability with diminishing errors as training advanced.
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Enhancing Clinical Diagnosis With Convolutional Neural Networks: Developing High-Accuracy Deep Learning Models for Differentiating Thoracic Pathologies.
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