Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation

9 Jul 2020Krishna ChaitanyaNeerav KaraniChristian F. BaumgartnerAnton BeckerOlivio DonatiEnder Konukoglu

Supervised learning-based segmentation methods typically require a large number of annotated training data to generalize well at test time. In medical applications, curating such datasets is not a favourable option because acquiring a large number of annotated samples from experts is time-consuming and expensive... (read more)

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