New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

By:

Stegmaier, Johannes [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing, 2017Description: 1 Online-Ressource (XII, 243 p.)ISBN:

9783731505907

Online resources:

Volltext frei verfügbar

Summary: 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 imagesPPN: PPN: 1778570690Package identifier: Produktsigel: ZDB-94-OAB

Holdings ( 0 )
Title notes ( 3 )

No physical items for this record

Open Access. Unrestricted online access star

Creative Commons https://creativecommons.org/licenses/by-sa/4.0 cc

English