A NOVEL DEEP LEARNING MODEL, RDBCYCYLEGAN-CBAM FOR LOW-DOSE CT IMAGE DENOISING
This paper introduces RDBCycleGAN-CBAM, a novel deep learning model that integrates residual dense blocks and convolutional block attention modules into a CycleGAN framework to significantly improve the quality of low-dose CT images while preserving structural details and reducing radiation exposure.