Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms

23 Jan 2020Arkadiy DushatskiyAdriënne M. MendrikPeter A. N. BosmanTanja Alderliesten

There has recently been great progress in automatic segmentation of medical images with deep learning algorithms. In most works observer variation is acknowledged to be a problem as it makes training data heterogeneous but so far no attempts have been made to explicitly capture this variation... (read more)

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