Deep learning is a powerful technique that has been applied to the task of stroke detection
using medical imaging. Stroke is a medical condition that occurs when the blood supply to …

Imaging is needed in stroke cases in order to understand what the type of stroke (ischemic,
hemorrhagic) is, to rule out bleeding, to determine the infarct area and to plan treatment …

Stroke”. Computed tomographic (CT) images play a crucial role in identifying hemorrhagic
strokes. It also helps in understanding the impact of damage caused in the brain cells more …

Artificial intelligence with deep learning methods have been employed by a majority of
researchers in medical image classification and segmentation applications for many years …

Strokes are among the top three global causes of death. The diagnosis of stroke is
commonly made based on the symptoms displayed and, specifically, on the the results of the …

Cerebrovascular stroke or injury (CVA) is a loss of brain function caused by the sudden
cessation of blood supply to parts of the brain. It is a condition that arises due to circulatory …

Accurate diagnosis of brain stroke, classification and segmentation of the stroke are
extremely important for physicians to focus on specific points of the brain and apply the right …

Stroke is brain cell death because of either lack of blood flow (ischemic) or bleeding
(hemorrhagic) that prevents the brain from functioning properly in both conditions. Ischemic …

Brain computed tomography (CT) is commonly used for evaluating the cerebral condition,
but immediately and accurately interpreting emergent brain CT images is tedious, even for …

Most of the recent study about deep learning in medical images have revolved the ability of
deep learning models to interpretation of diagnostic result and anatomical recognition …