Towards grading gleason score using generically trained deep convolutional neural networks

Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström. Towards grading gleason score using generically trained deep convolutional neural networks. In 13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016. pages 1163-1167, IEEE, 2016. [doi]

@inproceedings{KallenMHLA16,
  title = {Towards grading gleason score using generically trained deep convolutional neural networks},
  author = {Hanna Källén and Jesper Molin and Anders Heyden and Claes Lundström and Kalle Åström},
  year = {2016},
  doi = {10.1109/ISBI.2016.7493473},
  url = {http://dx.doi.org/10.1109/ISBI.2016.7493473},
  researchr = {https://researchr.org/publication/KallenMHLA16},
  cites = {0},
  citedby = {0},
  pages = {1163-1167},
  booktitle = {13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016},
  publisher = {IEEE},
  isbn = {978-1-4799-2349-6},
}