Abstract: Underwater imaging presents unique challenges due to light absorption, scattering, and color distortion. Conventional image enhancement methods often fail to address these issues adequately, ...
Abstract: Breast cancer is one of the most common and deadly diseases worldwide, making early and accurate detection critical for improving patient outcomes. Machine learning has shown significant ...
This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...
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