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机译:Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;
Twinned Residual Auto-Encoder (TRAE); Single-Image Super-Resolution (SISR); Task-awareness; Transfer learning; Feature-aided SISR; Noise reduction;