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

Autor Johannes Stegmaier
en Limba Engleză Hardback – 8 oct 2020
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.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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Specificații

ISBN-13: 9781013281792
ISBN-10: 1013281799
Pagini: 260
Dimensiuni: 221 x 286 x 18 mm
Greutate: 0.9 kg
Editura: Saint Philip Street Press