Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset

Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran. Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. 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{JanikDISC21,
  title = {Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset},
  author = {Adrianna Janik and Jonathan Dodd and Georgiana Ifrim and Kris Sankaran and Kathleen M. Curran},
  year = {2021},
  doi = {10.1117/12.2582227},
  url = {https://doi.org/10.1117/12.2582227},
  researchr = {https://researchr.org/publication/JanikDISC21},
  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},
}