Early Diagnosis of Alzheimer’s Disease by Ensemble Deep Learning Using FDG-PET

Full text for this resource is not available from the Research Repository.

Zheng, C, Xia, Y, Chen, Y, Yin, Xiaoxia and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2018) Early Diagnosis of Alzheimer’s Disease by Ensemble Deep Learning Using FDG-PET. In: 2018 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2018), 18 August - 19 August 2018, Lanzhou, China.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/38349
DOI https://doi.org/10.1007/978-3-030-02698-1_53
Official URL https://link.springer.com/chapter/10.1007%2F978-3-...
ISBN 9783030026974
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords dementia; mild cognitive impairment; AlexNet; computer-aided diagnosis; positron emission tomography; feature classification; feature extraction
Citations in Scopus 12 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login