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2017 | Supplement | Buchkapitel

A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney

verfasst von : Michael Gadermayr, Sean Steven Cooper, Barbara Klinkhammer, Peter Boor, Dorit Merhof

Erschienen in: Pattern Recognition

Verlag: Springer International Publishing

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Abstract

The advancing pervasion of digital pathology in research and clinical practice results in a strong need for image analysis techniques in the field of histopathology. Due to diverse reasons, histopathological imaging generally exhibits a high degree of variability. As automated segmentation approaches are known to be vulnerable, especially to unseen variability, we investigate several stain normalization methods to compensate for variations between different whole slide images. In a large experimental study, we investigate all combinations of five image normalization (not only stain normalization) methods as well as five image representations with respect to the classification performance in two application scenarios in kidney histopathology. Finally, we also pose the question, if color normalization is sufficient to compensate for the changed properties between whole slide images in an application scenario with few training data.

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Titel: A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney
verfasst von: Michael Gadermayr
Sean Steven Cooper
Barbara Klinkhammer
Peter Boor
Dorit Merhof
Verlag: Springer International Publishing
Buch: Pattern Recognition
Print ISBN: 978-3-319-66708-9

Electronic ISBN: 978-3-319-66709-6

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-66709-6_1

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