Autoencoders for Multi-Label Prostate MR Segmentation

06/09/2018

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by   Ard de Gelder, et al.

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Organ image segmentation can be improved by implementing prior knowledge about the anatomy. One way of doing this is by training an autoencoder to learn a lowdimensional representation of the segmentation. In this paper, this is applied in multi-label prostate MR segmentation, with some positive results.