U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …

The carotid artery is a critical blood vessel that supplies blood to the brain, and its health and
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …

Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …

Transcarotid Artery Revascularization (TCAR) is typically performed by manual catheter
insertion and implies radiation exposure for both the patient and the surgeon. Taking …

The global mortality rate is known to be the highest due to cardiovascular disease (CVD).
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …

The carotid artery is one of the most important blood vessels that supply blood to the brain. If
thrombus occurs, it may cause cerebral ischemic stroke and endanger life. Carotid intima …

Even in the era of precision medicine, with various molecular tests based on omics
technologies available to improve the diagnosis process, microscopic analysis of images …

Stroke is a massive public health problem. The rupture of vulnerable carotid atherosclerotic
plaques is the most common cause of acute ischemic stroke (AIS) across the world …

Background Carotid web (CaW) is a risk factor for ischemic stroke, mainly in young patients
with stroke of undetermined etiology. Its detection is challenging, especially among non …

UNet architecture has achieved great success in medical image segmentation applications.
However, these models still encounter several challenges. One is the loss of pixel-level …