Filtered By:
Education: Learning
Procedure: X-Ray
This page shows you your search results in order of relevance.
Order by Relevance | Date
Total 39 results found since Jan 2013.
Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images
CONCLUSIONS: DeepSym-3D-CNN is a potential method for automatically identifying AIS via DWI images and can be extended to other diseases with asymmetric lesions.PMID:33967077 | DOI:10.3233/XST-210861
Source: Journal of X-Ray Science and Technology - May 10, 2021 Category: Radiology Authors: Liyuan Cui Shanhua Han Shouliang Qi Yang Duan Yan Kang Yu Luo Source Type: research
Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients
CONCLUSIONS: This study demonstrates feasibility of developing a new quantitative imaging method and marker to predict AIS patients' prognosis in the hyperacute stage, which can help clinicians optimally treat and manage AIS patients.PMID:35213340 | DOI:10.3233/XST-221138
Source: Journal of X-Ray Science and Technology - February 25, 2022 Category: Radiology Authors: Gopichandh Danala Bappaditya Ray Masoom Desai Morteza Heidari Seyedehnafiseh Mirniaharikandehei Sai Kiran R Maryada Bin Zheng Source Type: research
Ischemic stroke subtyping method combining convolutional neural network and radiomics
CONCLUSION: The experimental results show that the proposed method can effectively predict the subtype of IS and has potential to assist doctors in making timely and accurate diagnoses of IS patients.PMID:36591693 | DOI:10.3233/XST-221284
Source: Journal of X-Ray Science and Technology - January 2, 2023 Category: Radiology Authors: Yang Chen Yiwen He Zhuoyun Jiang Yuanzhong Xie Shengdong Nie Source Type: research
