Semi-supervised learning of functional connectome for disease classification
Overfitting is a common problem when computational models are applied on neuroimaging datasets, which are high-dimensional and small in terms of sample sizes, resulting in poor inferences such as ungeneralizable biomarkers. One way to overcome this is to pool datasets of similar diseases that are co...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/156535 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|