Classification of Alzheimer Disease Using Feature Segmentation and 3D CNN
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5435-3_6
Reference18 articles.
1. Zhu X, Suk H-I, Zhu Y, Thung K-H, Wu G, Shen D (2015) Multi-view classification for identification of Alzheimer’s disease. In: International workshop on machine learning in medical imaging, Springer, Cham, pp 255–262. https://doi.org/10.1007/978-3-319-24888-2_31
2. Kincses ZT, Kiraly A, Veréb D, Vécsei L (2015) Structural magnetic resonance imaging markers of Alzheimer’s disease and its retranslation to rodent models. J Alzheimer’s Disease 47(2):277-290. https://doi.org/10.3233/JAD-143195
3. Jain R, Jain N, Aggarwal A, Jude Hemanth D (2019) Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images. Cognitive Syst Res 57
4. Liu M, Li F, Yan H, Wang K, Ma K, Shen L, Xu M (2020) Alzheimer’s disease neuroimaging initiative. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease. Neuroimage 208. https://doi.org/10.1016/j.neuroimage.2019.116459
5. Lian C, Liu M, Zhang J, Shen D (2018) Hierarchical fully convolutional network for joint atrophy localization and Alzheimer’s disease diagnosis using structural MRI. IEEE Trans Pattern Anal Mach Intell 42(4). https://doi.org/10.1109/TPAMI.2018.2889096
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