Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images

Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images

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Bibliographische Detailangaben
Veröffentlicht in:Expert systems with applications. - 1999. - 225(2023) vom: 01. Sept., Seite 120104
1. Verfasser: Baccarelli, Enzo (VerfasserIn)
Weitere Verfasser: Scarpiniti, Michele, Momenzadeh, Alireza
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Expert systems with applications
Schlagworte:Journal Article Feature-aided SISR Noise reduction Single-Image Super-Resolution (SISR) Task-awareness Transfer learning Twinned Residual Auto-Encoder (TRAE)
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