The increasing storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …

Stroke is an emergency in which delays in treatment can lead to significant loss of
neurological function and be fatal. Technologies that increase the speed and accuracy of …

Background and objective Acute ischemic stroke (AIS) is a common neurological disorder
characterized by the sudden onset of cerebral ischemia, leading to functional impairments …

Background and Purpose—For patients with large vessel occlusion, neuroimaging
biomarkers that evaluate the changes in brain tissue are important for determining the …

Brain imaging is essential to the clinical care of patients with stroke, a leading cause of
disability and death worldwide. Whereas advanced neuroimaging techniques offer …

Endometrial cancer (EC) is the most common gynecological tumor in developed countries,
and preoperative risk stratification is essential for personalized medicine. There have been …

Brain diseases threaten hundreds of thousands of people over the world. Medical imaging
techniques such as MRI and CT are employed for various brain disease studies. As artificial …

The early detection and rapid quantification of acute ischemic lesions play pivotal roles in
stroke management. We developed a deep learning algorithm for the automatic binary …

Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been
applied not only to the “downstream” side such as lesion detection, treatment decision …

Although deep learning methods have been widely applied in medical image lesion
segmentation, it is still challenging to apply it for segmenting ischemic stroke lesions, which …