Performance of machine learning for tissue outcome prediction in acute ischemic stroke: a systematic review and meta-analysis
X Wang, Y Fan, N Zhang, J Li, Y Duan… - Frontiers in neurology, 2022 - frontiersin.org
Machine learning (ML) has been proposed for lesion segmentation in acute ischemic stroke
(AIS). This study aimed to provide a systematic review and meta-analysis of the overall …
(AIS). This study aimed to provide a systematic review and meta-analysis of the overall …
Novel survival features generated by clinical text information and radiomics features may improve the prediction of ischemic stroke outcome
Background: Accurate outcome prediction is of great clinical significance in customizing
personalized treatment plans, reducing the situation of poor recovery, and objectively and …
personalized treatment plans, reducing the situation of poor recovery, and objectively and …
Radiomics features of DSC-PWI in time dimension may provide a new chance to identify ischemic stroke
Y Guo, Y Yang, F Cao, Y Liu, W Li, C Yang… - Frontiers in …, 2022 - frontiersin.org
Ischemic stroke has become a severe disease endangering human life. However, few
studies have analyzed the radiomics features that are of great clinical significance for the …
studies have analyzed the radiomics features that are of great clinical significance for the …
A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images
Collateral circulation results from specialized anastomotic channels which are capable of
providing oxygenated blood to regions with compromised blood flow caused by arterial …
providing oxygenated blood to regions with compromised blood flow caused by arterial …
Deep Learning Techniques for Brain Tumor Diagnosis: A Review
A Santhosh, T Saranya, S Sundar… - … , Signals & Systems …, 2021 - ieeexplore.ieee.org
Deep Learning techniques have remarkably contributed to the advancement of medical
image analysis by strengthening prediction accuracy, lead to proper drafting and diagnosis …
image analysis by strengthening prediction accuracy, lead to proper drafting and diagnosis …
[PDF][PDF] Novel survival features generated by clinical text information and radiomics features may improve the prediction of ischemic stroke outcome. Diagnostics (Basel) …
Y Guo, Y Yang, F Cao, W Li, M Wang… - DOI: https://doi. org …, 2024 - researchgate.net
Background: Accurate outcome prediction is of great clinical significance in customizing
personalized treatment plans, reducing the situation of poor recovery, and objectively and …
personalized treatment plans, reducing the situation of poor recovery, and objectively and …
Prediction of Delayed Trauma Following an Ischemic Stroke Using Comparative Machine Learning Study
S Mhatre, M Trivedi, M Mhatre - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Strokes are now the third largest cause of death worldwide. Only a small fraction of patients,
however, die as a result of the trauma. Initial Ischemic infarction, recurrent ischemic stroke …
however, die as a result of the trauma. Initial Ischemic infarction, recurrent ischemic stroke …
Prediction of Tissue Damage Using a User-Independent Machine Learning Algorithm vs. Tmax Threshold Maps
(1) Background: To test the accuracy of a fully automated stroke tissue estimation algorithm
(FASTER) to predict final lesion volumes in an independent dataset in patients with acute …
(FASTER) to predict final lesion volumes in an independent dataset in patients with acute …