Author:
Pradhan Nilanjana,Sagar Shraddha,Jagadesh T.
Publisher
Springer Science and Business Media LLC
Reference27 articles.
1. Brookmeyer R, Elizabeth J, Ziegler-Graham K, Arrighi HM. Forecasting the global burden of Alzheimer’s disease. Alzheimers Dement. 2017;3(3):186–91.
2. Prince MJ. Alzheimer’s disease facts and figures. Alzheimers Dement. 2018;14(3):367–429.
3. Kumar K, Kumar A, Keegan RM, Deshmukh R. Recent advances in the neurobiology and neuropharmacology of Alzheimer’s disease. Biomed Pharmacother. 2018;98:297–307.
4. Liu S, Liu S, Cai W, Pujol S, Kikinis R, Feng D. Early diagnosis of Alzheimer's disease with deep learning. In 2014 IEEE 11th international symposium on biomedical imaging (ISBI). IEEE; 2014. p. 1015–1018.
5. Gupta A, Ayhan M, Maida A. Natural image bases to represent neuroimaging data." In: International conference on machine learning, PMLR; 2013. p. 987–994.
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