TY  - BOOK
AU  - Stegmaier, Johannes
AB  - Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.
DO  - 10.5445/KSP/1000060221
ID  - OAPEN ID: 34963
KW  - 3D Bildanalyse
KW  - Algorithms
KW  - Software3D Image Analysis
KW  - Algorithmen
KW  - Data Mining
KW  - Entwicklungsbiologie
KW  - Software
KW  - Developmental Biology
L1  - https://www.ksp.kit.edu/9783731505907
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/54603
PB  - KIT Scientific Publishing
PY  - 2017
SN  - 9783731505907
TI  - New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertaintynull
ER  - 
