Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis
(2017)
p.32-39
- Author
- M Kim, J Zuallaert and Wesley De Neve (UGent)
- Organization
- Keywords
- IBCN
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8521037
- MLA
- Kim, M., et al. Towards Novel Methods for Effective Transfer Learning and Unsupervised Deep Learning for Medical Image Analysis. 2017, pp. 32–39.
- APA
- Kim, M., Zuallaert, J., & De Neve, W. (2017). Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis. 32–39.
- Chicago author-date
- Kim, M, J Zuallaert, and Wesley De Neve. 2017. “Towards Novel Methods for Effective Transfer Learning and Unsupervised Deep Learning for Medical Image Analysis.” In , 32–39.
- Chicago author-date (all authors)
- Kim, M, J Zuallaert, and Wesley De Neve. 2017. “Towards Novel Methods for Effective Transfer Learning and Unsupervised Deep Learning for Medical Image Analysis.” In , 32–39.
- Vancouver
- 1.Kim M, Zuallaert J, De Neve W. Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis. In 2017. p. 32–9.
- IEEE
- [1]M. Kim, J. Zuallaert, and W. De Neve, “Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis,” presented at the Doctoral Consortium (DCBIOSTEC 2017), Porto, Portugal, 2017, pp. 32–39.
@inproceedings{8521037,
author = {{Kim, M and Zuallaert, J and De Neve, Wesley}},
keywords = {{IBCN}},
language = {{eng}},
location = {{Porto, Portugal}},
pages = {{32--39}},
title = {{Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis}},
year = {{2017}},
}