Predictive Value of Different rs-fMRI Parameters in Wilson Disease based on SVM-Reference-Cited by-同舟云学术

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Predictive Value of Different rs-fMRI Parameters in Wilson Disease based on SVM

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Wu Yutong¹,Kan Hongxing¹,Hu Sheng¹,Lu Haimei²,Jin Li¹

Affiliation:

1. School of Medical Information Engineering, Anhui University of Chinese Medicine,Hefei,China

2. School of Basic Medical Sciences, Anhui Medical University,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929496.pdf?arnumber=9929496

Reference12 articles.

1. The asymmetry of neural symptoms in Wilson's disease patients detecting by diffusion tensor imaging, resting-state functional MRI, and susceptibility-weighted imaging

2. Wilson Disease

3. Everyday cognition in temporal lobe and frontal lobe epilepsy

4. Automatic classification of MR scans in Alzheimer's disease

5. Frequency-dependent changes in the amplitude of low-frequency fluctuations in patients with Wilson’s disease: a resting-state fMRI study

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for detecting Wilson's disease by amplitude of low-frequency fluctuation;Heliyon;2023-07

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