TY - GEN
T1 - Pathology-related automated hippocampus segmentation accuracy
AU - Liedlgruber, M.
AU - Butz, K.
AU - Höller, Yvonne
AU - Kuchukhidze, G.
AU - Taylor, A.
AU - Thomschewski, A.
AU - Tomasi, O.
AU - Trinka, E.
AU - Uhl, A.
N1 - Funding Information: This work has been funded by the Austrian Science Fund (FWF) under Project No. KLI 00012. Publisher Copyright: © Springer-Verlag GmbH Deutschland 2017.
PY - 2017
Y1 - 2017
N2 - Hippocampal segmentation accuracy of out-of-the-box software tools (FreeSurfer, AHEAD, BrainParser) is analysed wrt. potential variability in populations with different pathologies. Findings confirm variabilities wrt. different pathologies but also human rater ground truth and single pathologies exhibit significant variability as well.
AB - Hippocampal segmentation accuracy of out-of-the-box software tools (FreeSurfer, AHEAD, BrainParser) is analysed wrt. potential variability in populations with different pathologies. Findings confirm variabilities wrt. different pathologies but also human rater ground truth and single pathologies exhibit significant variability as well.
UR - https://www.scopus.com/pages/publications/85019910202
U2 - 10.1007/978-3-662-54345-0_31
DO - 10.1007/978-3-662-54345-0_31
M3 - Conference contribution
SN - 9783662543443
T3 - Informatik aktuell
SP - 128
EP - 133
BT - Bildverarbeitung fur die Medizin 2017
A2 - Maier-Hein, Klaus Hermann
A2 - Handels, Heinz
A2 - Deserno, Thomas Martin
A2 - Tolxdorff, Thomas
PB - Kluwer Academic Publishers
T2 - Workshops on Image processing for the medicine, 2017
Y2 - 12 March 2017 through 14 March 2017
ER -