Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s12021-023-09625-7.pdf
Reference118 articles.
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3. AbdulAzeem, Y., Bahgat, W. M., & Badawy, M. (2021). A CNN based framework for classification of Alzheimer’s disease. Neural Computing and Applications, 33(16), 10415–10428.
4. Aderghal, K., Khvostikov, A., Krylov, A., Benois-Pineau, J., Afdel, K., & Catheline, G. (2018). Classification of alzheimer disease on imaging modalities with deep CNNs using cross-modal transfer learning. In: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) [Internet]. Karlstad: IEEE; p. 345–350.
5. Aderghal, K., Afdel, K., Benois-Pineau, J., & Catheline, G. (2020). Improving Alzheimer’s stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities. Heliyon, 6(12), e05652.
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