Abstract: By studying the impact of CT imaging conditions on image features of pulmonary nodule phantoms, this study explores possibility to optimize the diversity of imaging conditions when building ...
Abstract: In the domain of image anomaly detection, significant progress has been made in un- and self-supervised methods with datasets containing only normal samples. Although these methods perform ...
Low-dose Computed Tomography (CT) imaging minimizes radiation exposure but often results in degraded image quality, making diagnosis challenging. Image Quality Assessment (IQA) is a process of ...
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