Thermal images suffer from low-luminance issues under specific conditions, such as heat
radiation, distance-to-radiated objects, reflection angles. Low-luminance thermal images …

Background Chest computed tomography (CT) is crucial in the diagnosis of coronavirus
disease 2019 (COVID-19). However, the persistent pandemic and similar CT manifestations …

Objective: To investigate two commercial software and their efficacy in the assessment of
chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency …

Global health has been seriously threatened due to the rapid spread of the Coronavirus
disease. In some cases, patients with high risk require early detection. Considering the less …

This study aimed to evaluate the performance of a novel unsupervised deep learning-based
framework for automated infections lesion segmentation from CT images of Covid patients …

During the epidemic of COVID‐19, Computed Tomography (CT) is used to help in the
diagnosis of patients. Most current studies on this subject appear to be focused on broad …

Covid‐19 caused by the SARS‐CoV2 virus has become a pandemic all over the world. By
growing in a number of cases, there is a need for clinical decision‐making system based on …

Recently many studies have shown the effectiveness of using augmented reality (AR) and
virtual reality (VR) in biomedical image analysis. However, they are not automating the …

Pulmonary medical image analysis using image processing and deep learning approaches
has made remarkable achievements in the diagnosis, prognosis, and severity check of lung …

Abstract Background and Objective: The spread of coronavirus has been challenging for the
healthcare system's proper management and diagnosis during the rapid spread and control …