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CEM-TUDASR, a computationally efficient unsupervised Transformer-based super-resolution framework for WCE image enhancement without paired low-resolution (LR) and high-resolution (HR) training data, is proposed.
UnCapsTSR achieves up to 80% improvement in image quality for capsule endoscopy, transforming how we visualize gastrointestinal health.
