Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...

Our research demonstrates that convolutional neural networks can significantly enhance the precision of nasal endoscopy interpretation. Achieving an average accuracy of 91.5% in localizing essential ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...