Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10462-024-10914-z.pdf
Reference124 articles.
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2. Aderghal K, Afdel K, Benois-Pineau J et al (2020) Improving alzheimer’s stage categorization with convolutional neural network using transfer learning and different magnetic resonance imaging modalities. Heliyon 6:e05652. https://doi.org/10.1016/j.heliyon.2020.e05652
3. Afzal S, Maqsood M, Nazir F et al (2019) A data augmentation-based framework to handle class imbalance problem for alzheimer’s stage detection. IEEE Access 7:115528–115539. https://doi.org/10.1109/ACCESS.2019.2932786
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5. Agosta F, Pievani M, Geroldi C et al (2012) Resting state fmri in alzheimer’s disease: beyond the default mode network. Neurobiol Aging 33:1564–1578. https://doi.org/10.1016/j.neurobiolaging.2011.06.007
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