MRDT-GAN: generative adversarial network with multi-scale residual dense transformer generator for low-dose CT denoising

MRDT-GAN provides an effective and generalizable LDCT denoising solution that balances noise reduction with fine-detail preservation. By integrating multi-scale residual dense Transformer modeling, hybrid attention mechanisms, and multi-difference adversarial learning, the framework offers improved clinical applicability and supports high-quality image reconstruction for downstream diagnostic tasks.