Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data

Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data

In machine learning, one of the most popular deep learning methods is the convolutional neural network (CNN), which utilizes shared local filters and hierarchical information processing analogous to the brain’s visual system. Despite its popularity in recognizing two-dimensional (2D) images, the con...

Full description

Bibliographic Details
Main Authors: Si-Baek Seong, Chongwon Pae, Hae-Jeong Park
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Neuroinformatics
Subjects:
cortical thickness
surface-based analysis
geometric convolutional neural network
sex differences
Machine learning
neuroimage
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00042/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2018.00042/full

Similar Items