Neuroimaging and deep learning for brain stroke detection-A review of recent advancements and future prospects
Background and objective In recent years, deep learning algorithms have created a massive
impact on addressing research challenges in different domains. The medical field also …
impact on addressing research challenges in different domains. The medical field also …
A review on computer aided diagnosis of acute brain stroke
Amongst the most common causes of death globally, stroke is one of top three affecting over
100 million people worldwide annually. There are two classes of stroke, namely ischemic …
100 million people worldwide annually. There are two classes of stroke, namely ischemic …
Automated segmentation of chronic stroke lesion using efficient U-Net architecture
Stroke is the most common neurological condition worldwide and causes various sequelae,
such as motor impairment, cognitive deficit, and language problems. Typically, a radiologist …
such as motor impairment, cognitive deficit, and language problems. Typically, a radiologist …
Application of deep learning method on ischemic stroke lesion segmentation
Y Zhang, S Liu, C Li, J Wang - Journal of Shanghai Jiaotong University …, 2022 - Springer
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 …
segmentation, it is still challenging to apply it for segmenting ischemic stroke lesions, which …
Segmenting ischemic penumbra and infarct core simultaneously on non-contrast CT of patients with acute ischemic stroke using novel convolutional neural network
Differentiating between a salvageable Ischemic Penumbra (IP) and an irreversibly damaged
Infarct Core (IC) is important for therapy decision making for acute ischemic stroke (AIS) …
Infarct Core (IC) is important for therapy decision making for acute ischemic stroke (AIS) …
Biochemical, biomechanical and imaging biomarkers of ischemic stroke: Time for integrative thinking
Stroke is one of the leading causes of adult disability affecting millions of people worldwide.
Post‐stroke cognitive and motor impairments diminish quality of life and functional …
Post‐stroke cognitive and motor impairments diminish quality of life and functional …
Lung segmentation and nodule detection in computed tomography scan using a convolutional neural network trained adversarially using turing test loss
Lung cancer is the most common form of cancer found worldwide with a high mortality rate.
Early detection of pulmonary nodules by screening with a low-dose computed tomography …
Early detection of pulmonary nodules by screening with a low-dose computed tomography …
Artificial Intelligence as A Complementary Tool for Clincal Decision-Making in Stroke and Epilepsy
Neurology is a quickly evolving specialty that requires clinicians to make precise and prompt
diagnoses and clinical decisions based on the latest evidence-based medicine practices. In …
diagnoses and clinical decisions based on the latest evidence-based medicine practices. In …
Simulating cross‐modal medical images using multi‐task adversarial learning of a deep convolutional neural network
Computed tomography (CT) and magnetic resonance imaging (MRI) are widely utilized
modalities for primary clinical imaging, providing crucial anatomical and pathological …
modalities for primary clinical imaging, providing crucial anatomical and pathological …
[PDF][PDF] Analyzing and detecting hemorrhagic and ischemic strokebased on bit plane slicing and edge detection algorithms
WS Alazawee, ZH Naji, WT Ali - Indonesian Journal of Electrical …, 2022 - academia.edu
Nowadays, in the medical world, analyzing and diagnosing acute brain stroke and its
location is a difficult process. In many hospitals, however, striking symptoms with the use of …
location is a difficult process. In many hospitals, however, striking symptoms with the use of …