This project focuses on enhancing low-dosage computed tomography (CT) images using deep learning-based super-resolution techniques. The goal is to compare several state-of-the-art models to reconstruct high-quality CT images from noisy, low-dose scans.
☆12Dec 16, 2024Updated last year
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