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Exploiting learning algorithms under scarce data regimes is a limitation and a reality of the medical imaging field.
Generative adversarial nets
Ian J. Goodfellow et al · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Emily L. Denton et al · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger et al · 2015
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern Menze et al · 2015
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Conditional image synthesis with auxiliary classifier gans
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Hongwei Li, Johannes C Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S Kirschke, Benedikt Wiestler, and Bjoern Menze · 2019
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URL https://github.com/qubvel/segmentation_models
Pavel Yakubovskiy
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Dada: Deep adversarial data augmentation for extremely low data regime classification
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Generative adversarial network in medical imaging: A review
Xin Yi et al · 2019
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Generative adversarial networks are special cases of artificial curiosity (1990) and also closely related to predictability minimization (1991)
Jürgen Schmidhuber · 2020
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