Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images

Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller. Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. In AI and ML for Digital Pathology. pages 16-37, 2020. [doi]

@incollection{SeegererBSBAJKM20,
  title = {Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images},
  author = {Philipp Seegerer and Alexander Binder and René Saitenmacher and Michael Bockmayr and Maximilian Alber and Philipp Jurmeister and Frederick Klauschen and Klaus-Robert Müller},
  year = {2020},
  doi = {10.1007/978-3-030-50402-1_2},
  url = {https://doi.org/10.1007/978-3-030-50402-1_2},
  researchr = {https://researchr.org/publication/SeegererBSBAJKM20},
  cites = {0},
  citedby = {0},
  pages = {16-37},
  booktitle = {AI and ML for Digital Pathology},
}