TY - JOUR
T1 - Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners
AU - Aziz, Maulana Abdul
AU - Nakamura, Tomoya
AU - Yamaguchi, Masahiro
AU - Kiyuna, Tomoharu
AU - Yamashita, Yoshiko
AU - Abe, Tokiya
AU - Hashiguchi, Akinori
AU - Sakamoto, Michiie
N1 - Funding Information:
Acknowledgements Part of this work is supported by New Energy and Industrial Technology Development Organization of Japan. Mr. Abdul Aziz would like to thank the Indonesia Endowment Fund for Education (LPDP) for their support on his study.
Publisher Copyright:
© 2018, ISAROB.
PY - 2019/3/15
Y1 - 2019/3/15
N2 - 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.
AB - 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.
KW - Color correction
KW - Color monitor
KW - Digital pathology
KW - Quantitative analysis
KW - Whole-slide scanners
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U2 - 10.1007/s10015-018-0451-0
DO - 10.1007/s10015-018-0451-0
M3 - Article
AN - SCOPUS:85050271666
SN - 1433-5298
VL - 24
SP - 28
EP - 37
JO - Artificial Life and Robotics
JF - Artificial Life and Robotics
IS - 1
ER -
