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

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

研究成果: Article査読

3 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)28-37
ページ数10
ジャーナルArtificial Life and Robotics
24
1
DOI
出版ステータスPublished - 2019 3月 15

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学一般
  • 人工知能

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