[HTML][HTML] Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution …
Over the last 15 years, basic thresholding techniques in combination with standard statistical
correlation-based data analysis tools have been widely used to investigate different aspects …
correlation-based data analysis tools have been widely used to investigate different aspects …
Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …
brain by sudden external forces. The primary and secondary injuries due to TBI include …
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN
Brain stroke is one of the most leading causes of worldwide death and requires proper
medical treatment. Therefore, in this paper, our aim is to classify brain computed tomography …
medical treatment. Therefore, in this paper, our aim is to classify brain computed tomography …
[HTML][HTML] Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
Abstract The use of Computed Tomography (CT) imaging for patients with stroke symptoms
is an essential step for triaging and diagnosis in many hospitals. However, the subtle …
is an essential step for triaging and diagnosis in many hospitals. However, the subtle …
Automated ASPECTS on noncontrast CT scans in patients with acute ischemic stroke using machine learning
BACKGROUND AND PURPOSE: Alberta Stroke Program Early CT Score (ASPECTS) was
devised as a systematic method to assess the extent of early ischemic change on …
devised as a systematic method to assess the extent of early ischemic change on …
[HTML][HTML] Automated delineation of stroke lesions using brain CT images
Computed tomographic (CT) images are widely used for the identification of abnormal brain
tissue following infarct and hemorrhage in stroke. Manual lesion delineation is currently the …
tissue following infarct and hemorrhage in stroke. Manual lesion delineation is currently the …
Classification method and apparatus
I Poole, A Lisowska, E Beveridge, R Wang - US Patent 10,163,040, 2018 - Google Patents
A medical image data processing apparatus comprises processing circuitry configured to:
receive a plurality of sets of medical imaging data; and train a classifier for use in …
receive a plurality of sets of medical imaging data; and train a classifier for use in …
StrokeViT with AutoML for brain stroke classification
Stroke, categorized under cardiovascular and circulatory diseases, is considered the second
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …
Computer aided detection of ischemic stroke using segmentation and texture features
NH Rajini, R Bhavani - Measurement, 2013 - Elsevier
Computed tomography images are widely used in the diagnosis of ischemic stroke because
of its faster acquisition and compatibility with most life support devices. This paper presents …
of its faster acquisition and compatibility with most life support devices. This paper presents …
Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network
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 …
worldwide. It occurs when a blood clot blocks an artery that supplies blood to the brain …