IVJun 9, 2018
Autoencoders for Multi-Label Prostate MR SegmentationArd de Gelder, Henkjan Huisman
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.