Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability

N. Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, S. Kappler, A. Maier. Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. In Robert M. Nishikawa, Frank W. Samuelson, editors, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 16-21 February 2019. Volume 10952 of SPIE Proceedings, SPIE, 2019. [doi]

@inproceedings{KaiserFVRRKM19,
  title = {Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability},
  author = {N. Kaiser and Andreas Fieselmann and Sulaiman Vesal and Nishant Ravikumar and Ludwig Ritschl and S. Kappler and A. Maier},
  year = {2019},
  doi = {10.1117/12.2513420},
  url = {https://doi.org/10.1117/12.2513420},
  researchr = {https://researchr.org/publication/KaiserFVRRKM19},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 16-21 February 2019},
  editor = {Robert M. Nishikawa and Frank W. Samuelson},
  volume = {10952},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}