Image quality assessments (IQA) are an important task for providing appropriate medical
care. Full-reference IQA (FR-IQA) methods, such as peak signal-to-noise ratio (PSNR) and …

In recent years, especially during the COVID-19 pandemic, a large number of Computerized
Tomography (CT) images are produced every day for the purpose of inspecting lung …

Background Chest computed tomography (CT) image quality impacts radiologists'
diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and …

Computed tomography (CT) images will be severely damaged from low-mAs acquisition
conditions. Seriously degraded CT images may lead to diagnostic bias in clinics. It is vital to …

Probe-based confocal laser endoscopy (pCLE) has emerged as a powerful tool for disease
diagnosis, yet it faces challenges such as the formation of hexagonal patterns in images due …

Objective Noise quantification is fundamental to computed tomography (CT) image quality
assessment and protocol optimization. This study proposes a deep learning–based …

Lowering radiation dose per view and utilizing sparse views per scan are two common CT
scan modes, albeit often leading to distorted images characterized by noise and streak …

Image quality assessment (IQA) is an important step to determine whether the computed
tomography (CT) images are suitable for diagnosis. Since the high dose CT images are …

An accurate segmentation of the maxillary sinus (MS) is helpful for preoperative planning of
dental implantation, diagnosis and evaluation of sinusitis, and validation of radiotherapy for …

Gaining the ability to audit the behavior of deep learning (DL) denoising models is of crucial
importance to prevent potential hallucinations and adversarial clinical consequences. We …