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Erschienen in: Artificial Life and Robotics 1/2019

19.07.2018 | Special Feature: Original Article

Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners

verfasst von: Maulana Abdul Aziz, Tomoya Nakamura, Masahiro Yamaguchi, Tomoharu Kiyuna, Yoshiko Yamashita, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Erschienen in: Artificial Life and Robotics | Ausgabe 1/2019

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Abstract

Advances in whole-slide scanning have led to research on digital pathology, including monitor-based diagnosis, feature quantification, and computer-aided diagnosis. The color variations due to the staining process and scanning device are a serious issue that should be solved in whole-slide imaging applications, and methods for color correction have been studied. Nevertheless, the effectiveness of color-correction methods in the quantitative analysis of histopathological images acquired by different whole-slide scanners (WSSs) has not been confirmed. In this work, several liver tissue samples were scanned by different WSSs, and a color-correction method for whole-slide images was applied to the digitized tissue specimens. A set of histological features were extracted from the histopathological images, both without and with color correction, to analyze the effectiveness of the color-correction method in feature quantification and cancer identification.

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Literatur
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Metadaten
Titel
Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners
verfasst von
Maulana Abdul Aziz
Tomoya Nakamura
Masahiro Yamaguchi
Tomoharu Kiyuna
Yoshiko Yamashita
Tokiya Abe
Akinori Hashiguchi
Michiie Sakamoto
Publikationsdatum
19.07.2018
Verlag
Springer Japan
Erschienen in
Artificial Life and Robotics / Ausgabe 1/2019
Print ISSN: 1433-5298
Elektronische ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-018-0451-0

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