Research progresses in key methods of radiomics for Alzheimer disease
10.13929/j.1003-3289.201905137
- Author:
Jianglin HE
1
Author Information
1. Institute of Medical Imaging Engineering, University of Shanghai for Science and Technology
- Publication Type:Journal Article
- Keywords:
Alzheimer disease;
Deep learning;
Feature selection;
Radiomics
- From:
Chinese Journal of Medical Imaging Technology
2019;35(10):1569-1573
- CountryChina
- Language:Chinese
-
Abstract:
With the development of medical imaging technology, research of Alzheimer disease (AD) based on radiomics has become one of the current hot spots. The applications of existing radiomics analysis methods in AD were reviewed in this article. Firstly, the workflows of radiomics with machine learning and deep learning were described. Secondly, the key methods about feature extraction, selection, dimensionality reduction and statistical classification models of radiomics with machine learning were summarized. Then the applications of recent deep learning-based radiomics method in AD were discussed. Finally, the limitations and challenges of machine learning and deep learning methods in practical applications were compared and analyzed.
