Correction to: Scientific Reports 10.1038/s41598-019-54548-6, published online 03 December 2019
This Article contains errors in references 5, 26, 36, 37 and 40, which were incorrectly given as:
Hayit, G., Bram van, G. & Ronald, M. S. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Transactions on Medical Imaging. 35, 1153–1159 (2016).
Kilian, H. et al. Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification, https://doi.org/10.1101/293126 (2018).
Diederik, P. K. & Jimmy, B. Adam: A Method for Stochastic Optimization. In: ICLR. 2015 (2015).
Christian, S., Vincent, V., Sergey, L. & Zbigniew, W. Rethinking the Inception Architecture for Computer Vision. In: CVPR, https://doi.org/10.1109/CVPR.2016.308 (2016).
Loffe, S. & Szegedy, C. Batch normalization: accelerating deep network training by reducing internal covariate shift. In ICML. 448–456 (2015).
The correct references 5, 26, 36, 37 and 40 appear below as references 1–5, respectively.
References
- 1.Greenspan H, van Ginneken B, Summers RM. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Transactions on Medical Imaging. 2016;35:1153–1159. [Google Scholar]
- 2.Hett K, et al. Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification. Sci. Rep. 2019;9:13845. doi: 10.1038/s41598-019-49970-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kingma, D. P. & Ba, J. Adam: A Method for Stochastic Optimization. In: ICLR. (2015).
- 4.Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J. & Wojna, Z. Rethinking the Inception Architecture for Computer Vision. In: CVPR, 10.1109/CVPR.2016.308 (2016).
- 5.Ioffe, S. & Szegedy, C. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In: ICML. 448–456 (2015).