Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs

Hui Li, Kayla R. Mendel, John H. Lee, Li Lan, Maryellen L. Giger. Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. In Nicholas A. Petrick, Kensaku Mori, editors, Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018. Volume 10575 of SPIE Proceedings, SPIE, 2018. [doi]

@inproceedings{LiMLLG18,
  title = {Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs},
  author = {Hui Li and Kayla R. Mendel and John H. Lee and Li Lan and Maryellen L. Giger},
  year = {2018},
  doi = {10.1117/12.2294536},
  url = {https://doi.org/10.1117/12.2294536},
  researchr = {https://researchr.org/publication/LiMLLG18},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018},
  editor = {Nicholas A. Petrick and Kensaku Mori},
  volume = {10575},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}