A Comparative Analysis of Enhanced Residual U-Net and DnCNN Architectures for Blind Medical Image Denoising. Libyan Open University Journal of Applied Sciences (LOUJAS), [S. l.], v. 2, n. 2, p. 87–96, 2026. DOI: 10.65422/loujas.v2i2.375. Disponível em: https://oujournals.ly/index.php/LOUJAS/article/view/375. Acesso em: 4 aug. 2026.