ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. Gonda, F., Kaynig, V., Jones, T. R., Haehn, D., Lichtman, J. W., Parag, T., & Pfister, H. In ISBI, pages 327-331, 2017. IEEE.
ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. [link]Link  ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. [link]Paper  bibtex   
@inproceedings{conf/isbi/GondaKJHLPP17,
  added-at = {2019-10-19T00:00:00.000+0200},
  author = {Gonda, Felix and Kaynig, Verena and Jones, Thouis R. and Haehn, Daniel and Lichtman, Jeff W. and Parag, Toufiq and Pfister, Hanspeter},
  biburl = {https://www.bibsonomy.org/bibtex/275c499e532219f1236cfd5b453caa0ba/dblp},
  booktitle = {ISBI},
  crossref = {conf/isbi/2017},
  ee = {https://doi.org/10.1109/ISBI.2017.7950530},
  interhash = {f53d83c345689a53950acbbc6b72ec30},
  intrahash = {75c499e532219f1236cfd5b453caa0ba},
  isbn = {978-1-5090-1172-8},
  keywords = {dblp},
  pages = {327-331},
  publisher = {IEEE},
  timestamp = {2019-10-22T14:56:23.000+0200},
  title = {ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures.},
  url = {http://dblp.uni-trier.de/db/conf/isbi/isbi2017.html#GondaKJHLPP17},
  year = 2017
}

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