Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features
Objective: To automatically detect focal cortical dysplasia (FCD) lesion by combining quantitative multimodal surface-based features with machine learning and to assess its clinical value.Methods: Neuroimaging data and clinical information for 74 participants (40 with histologically proven FCD type...
Main Authors: | Jia-Jie Mo, Jian-Guo Zhang, Wen-Ling Li, Chao Chen, Na-Jing Zhou, Wen-Han Hu, Chao Zhang, Yao Wang, Xiu Wang, Chang Liu, Bao-Tian Zhao, Jun-Jian Zhou, Kai Zhang |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-01-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2018.01008/full |
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