Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …

Covid-19 is still the attention of researchers in medical image analysis. Following the initial
respiratory diagnosis, a CT-scan examination will be performed. Segmentation of infection …

Computer vision has made a significant advance in the medical imaging. Pneumothorax is a
severe ailment that can be fatal if the patient does not receive proper care. The main way for …

Latest advancements in deep learning have led to an enthusiasm among biomedical
researchers to explore the field of semantic segmentation further. Lungs segmentation plays …

In medical image analysis, lung segmentation is needed as an initial step in diagnosing
various diseases in the lung area, including Covid-19 infection. Deep Learning has been …

This study compares the performance of five selected machine learning models regarding
precipitation climatology during the warm season in 2022 and 2023 over the continental US …

White matter hyperintensities (WMH), also known as white matter osteoporosis, have been
clinically proven to be associated with cognitive decline, the risk of cerebral infarction, and …

The term 'tumor'describes an atypical development of cells that forms a mass inside an
organ; depending on the organ's invasive nature and propensity for metastasis, the growth …

Lung disease is one of the biggest causes of death in the world. The SARS-CoV-2 virus
causes diseases like COVID-19, and the bacteria Streptococcus sp., which causes …

The Covid-19 infection challenges medical staff to make rapid diagnoses of patients. In just
a few days, the Covid-19 virus infection could affect the performance of the lungs. On the …