PHiSeg: Capturing Uncertainty in Medical Image Segmentation

Author:

Baumgartner Christian F.,Tezcan Kerem C.,Chaitanya Krishna,Hötker Andreas M.,Muehlematter Urs J.,Schawkat Khoschy,Becker Anton S.,Donati Olivio,Konukoglu Ender

Publisher

Springer International Publishing

Reference10 articles.

1. Armato, S.G., et al.: The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med. Phys. 38(2), 915–931 (2011)

2. Kendall, A., Badrinarayanan, V., Cipolla, R.: Bayesian SegNet: model uncertainty in deep convolutional encoder-decoder architectures for scene understanding. arXiv:1511.02680 (2015)

3. Kingma, D., Welling, M.: Auto-encoding variational bayes. arXiv:1312.6114 (2013)

4. Kohl, S., et al.: A probabilistic U-Net for segmentation of ambiguous images. In: Proceedings of NIPS, pp. 6965–6975 (2018)

5. Lakshminarayanan, B., Pritzel, A., Blundell, C.: Simple and scalable predictive uncertainty estimation using deep ensembles. In: Proceedings of NIPS, pp. 6402–6413 (2017)

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