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

Dublin Core

Title

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

Subject

Computer Science

Description

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.

Creator

Stegmaier, Johannes

Source

https://www.ksp.kit.edu/9783731505907

Publisher

KIT Scientific Publishing

Date

2017

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Stegmaier, Johannes, “New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty,” Open Educational Resource (OER) - Unsyiah Library, accessed October 2, 2022, http://uilis.unsyiah.ac.id/oer/items/show/4589.

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