The liver is the second-largest organ in the human body and is essential for digesting food
and removing toxic substances. Viruses, obesity, alcohol use, and other factors can damage …

Because of the challenges posed by anatomical uncertainties and the low resolution of plain
computed tomography (CT) scans, implementing adaptive radiotherapy (ART) for small …

Post-stroke neuroimaging is the key to the treatment of brain stroke. Typically, segmenting
lesions manually is not only time-consuming, but limited by the varying morphology of …

Deep learning-based methods have been widely used in medical image segmentation
recently. However, existing works are usually difficult to simultaneously capture global long …

Background Accurate detection of hepatocellular carcinoma (HCC) in multiphasic contrast
CT is essential for effective treatment and surgical planning. However, the variety of CT …

A cluster of cases caused by the virus SARS-CoV-2 was detected in Wuhan, China, in
December 2019. The disease derived from that virus was named Coronavirus (COVID-19) …

The rapidly evolving landscape of medical imaging necessitates innovative approaches to
enhance diagnostic accuracy, particularly in liver and tumor segmentation. Current …

Early accurate diagnosis of focal liver lesions is crucial for treatment and prognosis. To this
end, we propose an evolved ResUNet algorithm (EvoResUnet) specifically designed to …

Liver segmentation from abdominal Com-puted Tomography (CT) images aims to separate
the liver from other organs. It plays an important role in determining liver function and …

The vitreous ultrasonography image (VUI) helps detect vitreous opacity, a common clinical
symptom of ophthalmic disease. However, VUI interpretation lacks quantitative criteria and …