Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Abstract: The use of synthetic data has become an increasingly relevant approach in machine learning, especially in situations involving limited, imbalanced, or sensitive datasets. This study presents ...
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