A Pilot Study of Diabetes Mellitus Classification from rs-fMRI Data Using Convolutional Neural Networks
Background. As a chronic progressive disease, diabetes mellitus (DM) has a high incidence worldwide, and it impacts on cognitive and learning abilities in the lifetime even in the early stage, may degenerate memory in middle age, and perhaps increases the risk of Alzheimer’s disease. Method. In this...
Main Authors: | Yunfei Liu, Xian Mo, Hao Yang, Yan Liu, Junran Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/1903734 |
Similar Items
-
Multimodal MRI-based classification of migraine: using deep learning convolutional neural network
by: Hao Yang, et al.
Published: (2018-10-01) -
A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification
by: Jinlong Hu, et al.
Published: (2019-01-01) -
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
by: Regina J. Meszlényi, et al.
Published: (2017-10-01) -
The Application of rs-fMRI in Vascular Cognitive Impairment
by: Ran Wang, et al.
Published: (2020-09-01) -
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset
by: Tao Zhang, et al.
Published: (2020-08-01)