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

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

STEGMAJER, Johannes - Personal Name;

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.

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Series Title: -
Call Number: 000
Publisher: : KIT Scientific Publishing., 2017
Collation: -
Language: English
ISBN/ISSN: -
Classification: 000
Content Type: text
Media Type: computer
Carrier Type: -
Edition: 1
Subject(s): Computer Science
Specific Detail Info: -
Statement of Responsibility: -

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Cataloger: Kurnadi
Source: -
Validator: Taufik

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

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