Self-supervised Distillation and Multi-scale Network for Parkinson’s Disease Classification
- Resource Type
- Conference
- Authors
- Lei, Haijun; Liang, Chengjia; Zhang, Yuchen; Lei, Shuyuan; Lei, Baiying
- Source
- 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :2003-2006 Dec, 2023
- Subject
- Bioengineering
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Correlation
Biological system modeling
Feature extraction
Convolutional neural networks
Task analysis
Bioinformatics
Diseases
Parkinson’s disease
Self-supervised distillation
Multi-scale network
- Language
- ISSN
- 2156-1133
Parkinson’s disease (PD) is a common and irreversible neurodegenerative disease that the earlier it is diagnosed, the easier and better it can be controlled. This paper proposes a self-supervised distillation and multi-scale dynamic convolutional network for PD classification. Experiments indicate that our proposed method has outperformed most SOTA methods.