Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT

9 Oct 2018Hans MeineGrzegorz ChlebusMohsen GhafoorianItaru EndoAndrea Schenk

Various approaches for liver segmentation in CT have been proposed: Besides statistical shape models, which played a major role in this research area, novel approaches on the basis of convolutional neural networks have been introduced recently. Using a set of 219 liver CT datasets with reference segmentations from liver surgery planning, we evaluate the performance of several neural network classifiers based on 2D and 3D U-net architectures... (read more)

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