Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein. Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. In Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones, editors, Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Volume 116 of Proceedings of Machine Learning Research, pages 171-183, PMLR, 2019. [doi]

@inproceedings{JaegerKBIKSM19,
  title = {Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection},
  author = {Paul F. Jaeger and Simon A. A. Kohl and Sebastian Bickelhaupt and Fabian Isensee and Tristan Anselm Kuder and Heinz-Peter Schlemmer and Klaus H. Maier-Hein},
  year = {2019},
  url = {http://proceedings.mlr.press/v116/jaeger20a.html},
  researchr = {https://researchr.org/publication/JaegerKBIKSM19},
  cites = {0},
  citedby = {0},
  pages = {171-183},
  booktitle = {Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019},
  editor = {Adrian V. Dalca and Matthew B. A. McDermott and Emily Alsentzer and Samuel G. Finlayson and Michael Oberst and Fabian Falck and Brett K. Beaulieu-Jones},
  volume = {116},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}