Abstract
A comparison of four out-of-the-box software packages for automated hippocampus segmentation reveals that AHEAD and Freesurfer deliver the most satisfying results in terms of software usability and segmentation reliability and are thus recommended to be used in a fused manner.
Keywords
- Mild Cognitive Impairment
- Temporal Lobe Epilepsy
- Automate Segmentation
- Subcortical Structure
- Input Volume
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Gschwandtner, M., Höller, Y., Liedlgruber, M., Trinka, E., Uhl, A. (2016). Assessing Out-of-the-box Software for Automated Hippocampus Segmentation. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_38
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DOI: https://doi.org/10.1007/978-3-662-49465-3_38
Publisher Name: Springer Vieweg, Berlin, Heidelberg
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