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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Front Neurosci
Hauptverfasser: Mo, Jia-Jie, Zhang, Jian-Guo, Li, Wen-Ling, Chen, Chao, Zhou, Na-Jing, Hu, Wen-Han, Zhang, Chao, Wang, Yao, Wang, Xiu, Liu, Chang, Zhao, Bao-Tian, Zhou, Jun-Jian, Zhang, Kai
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2019
Schlagworte:
Neuroscience
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6336916/
https://ncbi.nlm.nih.gov/pubmed/30686974
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.01008
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge