Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s12021-019-09417-y.pdf
Reference77 articles.
1. Ahdidan, J., Raji, C.A., DeYoe, E.A., Mathis, J., Noe, K., Rimestad, J., Kjeldsen, T.K., Mosegaard, J., Becker, J.T., Lopez, O. (2016). Quantitative neuroimaging software for clinical assessment of hippocampal volumes on MR imaging. Journal of Alzheimer’s Disease, 49(3), 723–732.
2. Aljabar, P., Heckemann, R.A., Hammers, A., Hajnal, J.V., Rueckert, D. (2009). Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. NeuroImage, 46(3), 726–738.
3. Bateman, R.J., Xiong, C., Benzinger, T.L., Fagan, A.M., Goate, A., Fox, N.C., Marcus, D.S., Cairns, N.J., Xie, X., Blazey, T.M., et al. (2012). Clinical and biomarker changes in dominantly inherited Alzheimer’s disease. New England Journal of Medicine, 367(9), 795–804.
4. Bernasconi, N., Bernasconi, A., Caramanos, Z., Antel, S., Andermann, F., Arnold, D. (2003). Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain, 126(2), 462–469.
5. Boccardi, M., Bocchetta, M., Morency, F.C., Collins, D.L., Nishikawa, M., Ganzola, R., Grothe, M.J., Wolf, D., Redolfi, A., Pievani, M., et al. (2015). Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol. Alzheimer’s & Dementia, 11(2), 175–183.
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