Classification of Alzheimer’s Disease Using Transfer Learning MobileNet Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2271-0_3
Reference22 articles.
1. Hosseini-Asl E, Gimel’farb G, El-Baz A (2016) Alzheimer’s disease diagnostics by a deeply supervised adaptable 3D convolutional network. 502. [Online]. Available http://arxiv.org/abs/1607.00556
2. Punjabi A, Martersteck A, Wang Y, Parrish TB, Katsaggelos AK (2019) Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks. PLoS ONE 14(12):1–14. https://doi.org/10.1371/journal.pone.0225759
3. Sethi M, Ahuja S, Bawa P (2021) Classification of Alzheimer’s disease using neuroimaging data by convolution neural network. In: 2021 6th international conference on signal processing, computing and control (ISPCC), Oct 2021, pp 402–406. https://doi.org/10.1109/ISPCC53510.2021.9609431
4. Liu X, Chen K, Wu T, Weidman D, Lure F, Li J (2018) Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer’s disease. Transl Res 194:56–67. https://doi.org/10.1016/j.trsl.2018.01.001
5. A. Association (2019) 2019 Alzheimer’s disease facts and figures. Alzheimer’s Dement 15(3):321–387. https://doi.org/10.1016/j.jalz.2019.01.010
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