Automatic sleep stage classification using neural networks represents a significant advancement in sleep research, providing a robust alternative to traditional manual scoring methods. By leveraging ...
This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
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