Semi-supervised learning of functional connectome for disease classification

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...

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書目詳細資料
主要作者:	Yew, Wei Chee
其他作者:	Jagath C Rajapakse
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2022
主題:	Engineering::Computer science and engineering
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!

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