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    = {Wed, 04 Oct 2023 17:01:25 +0200},
  biburl       = {https://dblp.org/rec/conf/isbi/ChuquicusmaHBB18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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