Early diagnosis of Alzhiemer’s disease using wavelet-pooling based deep convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12046-023-02219-8.pdf
Reference48 articles.
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3. Wang S L, Cai Z C and Xu C L 2013 Classification for Alzheimer’s disease based on SVM using a spatial texture feature of cortical thickness. In: 2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing ICCWAMTIP pp. 158–161. https://doi.org/10.1109/ICCWAMTIP.2013.6716622
4. Achterberg H C, Sørensen L, Wolters F J, Niessen W J, Vernooij M W, Ikram M A, Nielsen M and de Bruijne M 2019 The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study. Neurobiol Aging 81: 58–66
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1. MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images;International Journal of Imaging Systems and Technology;2024-05-30
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