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
PY - 2018/1/1
Y1 - 2018/1/1
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
JO - Artificial Life and Robotics
JF - Artificial Life and Robotics
SN - 1433-5298
ER -