Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI

Zachary Papanastasopoulos, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal. Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. In Horst K. Hahn, Maciej A. Mazurowski, editors, Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020. Volume 11314 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{Papanastasopoulos20,
  title = {Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI},
  author = {Zachary Papanastasopoulos and Ravi K. Samala and Heang-Ping Chan and Lubomir M. Hadjiiski and Chintana Paramagul and Mark A. Helvie and Colleen H. Neal},
  year = {2020},
  doi = {10.1117/12.2549298},
  url = {https://doi.org/10.1117/12.2549298},
  researchr = {https://researchr.org/publication/Papanastasopoulos20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020},
  editor = {Horst K. Hahn and Maciej A. Mazurowski},
  volume = {11314},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633964},
}