Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul. Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. In Samuel G. Armato III, Nicholas A. Petrick, editors, Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. Volume 10134 of SPIE Proceedings, SPIE, 2017. [doi]

@inproceedings{Izadyyazdanabadi17,
  title = {Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks},
  author = {Mohammadhassan Izadyyazdanabadi and Evgenii Belykh and Nikolay Martirosyan and Jennifer Eschbacher and Peter Nakaji and Yezhou Yang and Mark C. Preul},
  year = {2017},
  doi = {10.1117/12.2254902},
  url = {https://doi.org/10.1117/12.2254902},
  researchr = {https://researchr.org/publication/Izadyyazdanabadi17},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017},
  editor = {Samuel G. Armato III and Nicholas A. Petrick},
  volume = {10134},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510607132},
}