Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images

Akram Bayat, Connor Anderson, Pratik Shah. Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images. In Ivana Isgum, Bennett A. Landman, editors, Medical Imaging 2021: Image Processing, Online, February 15-19, 2021. Volume 11596 of SPIE Proceedings, SPIE, 2021. [doi]

@inproceedings{BayatAS21,
  title = {Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images},
  author = {Akram Bayat and Connor Anderson and Pratik Shah},
  year = {2021},
  doi = {10.1117/12.2582303},
  url = {https://doi.org/10.1117/12.2582303},
  researchr = {https://researchr.org/publication/BayatAS21},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2021: Image Processing, Online, February 15-19, 2021},
  editor = {Ivana Isgum and Bennett A. Landman},
  volume = {11596},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510640221},
}