Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Abstract: As skin diseases continue to emerge worldwide, there is a growing need for fast and accurate diagnosis. However, access to dermatologists remains limited, especially in remote and ...

Abstract: Deep neural networks have demonstrated highly competitive performance in super-resolution (SR) for natural images by learning mappings from low-resolution (LR) to high-resolution (HR) images ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...