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The system provides visual performance evaluation tools to facilitate the efficient application of the system.
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For visual PET performance evaluation, these lymph nodes were regarded as benign nodes on PET.
Peak signal-to-noise ratio (PSNR) and visual inspection were used for performance evaluation.
This capability was used to validate the evaluation methodologies (meta-evaluation) by comparing visual performance on simulations of conventional displays to results of past studies by other researchers.
For instance, Kherfi et al. [13] provide a comprehensive survey on Web image retrieval systems, giving details on the main issues that have to be addressed during their implementation (e.g., how to perform data gathering, visual feature extraction, indexing, retrieving, and performance evaluation).
Numerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on visual perception.
Performance is evaluated in Performance evaluation.
This section reports the performance evaluation on the image dataset from a small size Visual Sensor Network.
Performance evaluation methods for emollients and moisturizers are mainly focused on sensory aspects, skin visual appearance, perceived efficacy, and measurements of skin barrier hydration and integrity.
For more various quality evaluations, we added performance evaluation results with several metrics: noise quality measure (NQM [24], information fidelity criterion (IFC [25], structural similarity (SSIM [26], visual information fidelity (VIF [27], and universal quality index (UQI [28].
Figure 2: Overall performance evaluation.
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