Application of machine learning techniques for characterization of ischemic stroke with MRI images: a review
Magnetic resonance imaging (MRI) is a standard tool for the diagnosis of stroke, but its
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …
An improved random forest algorithm and its application to wind pressure prediction
L Lang, L Tiancai, A Shan… - International Journal of …, 2021 - Wiley Online Library
When making regression predictions, the traditional random forest (RF) algorithm can only
make predictions within the training set, which can easily lead to overfitting when modeling …
make predictions within the training set, which can easily lead to overfitting when modeling …
Automated segmentation of infarct lesions in T1-weighted MRI scans using variational mode decomposition and deep learning
Automated segmentation methods are critical for early detection, prompt actions, and
immediate treatments in reducing disability and death risks of brain infarction. This paper …
immediate treatments in reducing disability and death risks of brain infarction. This paper …
Arithmetic optimization-based K means algorithm for segmentation of ischemic stroke lesion
SK Thiyagarajan, K Murugan - Soft Computing, 2023 - Springer
Stroke is a life-threatening medical condition which blocks arteries supplying blood to brain.
Stroke lesion delineation from brain MRI by clinical experts consumes longer time and are …
Stroke lesion delineation from brain MRI by clinical experts consumes longer time and are …
Automated delimitation and classification of autistic disorder using EEG signal
Autism Spectrum Disorder (ASD) is a disturbing neuro-developmental disorder affecting the
behavioural ability and communication skills of an individual. Early detection of such …
behavioural ability and communication skills of an individual. Early detection of such …
Improved hypertensive stroke classification based on multi-scale feature fusion of head axial CT angiogram and multimodal learning
S Liu, P Qin, Z Wang, Y Liu - Physica Medica, 2024 - Elsevier
Purpose: Strokes are severe cardiovascular and circulatory diseases with two main types:
ischemic and hemorrhagic. Clinically, brain images such as computed tomography (CT) and …
ischemic and hemorrhagic. Clinically, brain images such as computed tomography (CT) and …
A review on image segmentation techniques for MRI brain stroke lesion
One of the major categories of brain disorders is known as stroke, which it can affect the
entire body. The ability to recover from a stroke depends on the severity of the stroke and …
entire body. The ability to recover from a stroke depends on the severity of the stroke and …
Medical Image Analysis Methods for Accurate Segmentation and Quantification of Acute-Subacute Ischemic Stroke Lesion—A Systematic Review
MK Kumar, Z Godandapani - International Journal of Image and …, 2024 - World Scientific
A medical emergency, acute ischemic stroke necessitates immediate treatment as the longer
the neural is without blood flow, the greater the risk of irreversible neural damage and …
the neural is without blood flow, the greater the risk of irreversible neural damage and …
System for Predicting the Origin of Neurological Symptomatics in Children after an Ischemic Stroke
G Mashevskiy, P Dubrovina - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Every year, cerebrovascular diseases are diagnosed in 6 million people in the world. Actual
clinical data indicate that cerebrocardial disorders are inherent not only in adults, but also in …
clinical data indicate that cerebrocardial disorders are inherent not only in adults, but also in …