Development of a Method for the Early Detection of Alzheimer Using CT Images, Deep Learning Techniques and Hyper-parameter Tuning
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-54235-0_15
Reference12 articles.
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2. Arafa, D.A., Moustafa, H.E.-D., Ali-Eldin, A.M.T., Ali, H.A.: Early detection of Alzheimer’s disease based on the state-of-the-art deep learning approach: a comprehensive survey. Multimedia Tools Appl. 81(17), 1–42 (2022). https://doi.org/10.1007/s11042-022-11925-0
3. Goenka, N., Tiwari, S.: Deep learning for Alzheimer prediction using brain biomarkers. Artif. Intell. Rev. 54(7), 4827–4871 (2021). https://doi.org/10.1007/s10462-021-10016-0
4. Idrovo-Berrezueta, P., Dutan-Sanchez, D., Robles-Bykbaev, V.: comparison of transfer learning vs hyperparameter tuning to improve neural networks precision in the early detection of pneumonia in chest X-Rays. In: Rocha, l., Ferrás, C., Ibarra, W. (eds.) Information Technology and Systems, pp. 263–272. Lecture Notes in Networks and Systems, Springer International Publishing, Cham (2023). https://doi.org/10.1007/978-3-031-33258-6_24
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