How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. Chuquicusma, M. J. M., Hussein, S., Burt, J., & Bagci, U. In 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, pages 240–244, 2018.
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/isbi/ChuquicusmaHBB18,
  author    = {Maria J. M. Chuquicusma and
               Sarfaraz Hussein and
               Jeremy Burt and
               Ulas Bagci},
  title     = {How to fool radiologists with generative adversarial networks? {A}
               visual turing test for lung cancer diagnosis},
  booktitle = {15th {IEEE} International Symposium on Biomedical Imaging, {ISBI}
               2018, Washington, DC, USA, April 4-7, 2018},
  pages     = {240--244},
  year      = {2018},
  crossref  = {DBLP:conf/isbi/2018},
  url       = {https://doi.org/10.1109/ISBI.2018.8363564},
  doi       = {10.1109/ISBI.2018.8363564},
  timestamp = {Mon, 15 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/isbi/ChuquicusmaHBB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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