The task of segmentation of brain regions affected by ischemic stroke is help to tackle
important challenges of modern stroke imaging analysis. Unfortunately, at the moment, the …

Segmentation of brain regions affected by ischemic stroke helps to overcome the main
obstacles in modern studies of stroke visualization. Unfortunately, contemporary methods of …

It is critical to know what brain regions are affected by an ischemic stroke, as this enables
doctors to make more effective decisions about stroke patient therapy. These regions are …

Brain stroke is one of the global problems today. An image such as a CT scan helps to
visually see the whole picture of the brain. Segmentation of the affected brain regions …

Background and objectives: This paper has introduced a patch-based, residual, asymmetric,
encoder-decoder CNN that solves two major problems in acute ischemic stroke lesion …

Abstract Background and Objective Acute ischemic stroke requires timely diagnosis and
thrombolytic therapy, but it is difficult to locate and quantify the lesion site manually. The …

Background and objectives: Acute stroke lesion segmentation is of paramount importance
as it can aid medical personnel to render a quicker diagnosis and administer consequent …

Acute ischemic stroke is one of the leading causes of death and long-term disability
worldwide. It occurs when a blood clot blocks an artery that supplies blood to the brain …

Ischemic stroke is the result of an obstruction within a brain blood vessel, blocking the fresh
blood flow, resulting in a tissue lesion. Early prediction of the ischemic stroke lesion region is …

In this paper, we propose the algorithm for stroke lesion segmentation based on a deep
convolutional neural network (CNN). The model is based on U-shaped CNN, which has …