@inproceedings{d36f55d1ad29491bbaee8b316f4eefc3,
title = "Variability issues in automated hippocampal segmentation: A study on out-of-the-box software and multi-rater ground truth",
abstract = "In automated hippocampus segmentation, issues related to ground truth rater variability, subject variability and variability of software segmentation accuracy are investigated in the context of 3 publicly available, out-of-the-box software packages. Ground truth variability among three manual raters is controlled using a majority voting based label fusion scheme and observed subject variability underpins the importance of availability of large scale ground truth.",
keywords = "Automated hippocampus segmentation, Ground truth variability, Subject variability",
author = "M. Liedlgruber and K. Butz and Yvonne H{\"o}ller and G. Kuchukhidze and A. Taylor and O. Tomasi and E. Trinka and A. Uhl",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016 ; Conference date: 20-06-2016 Through 23-06-2016",
year = "2016",
month = aug,
day = "16",
doi = "10.1109/CBMS.2016.55",
language = "English",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "191--196",
booktitle = "Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016",
address = "United States",
}