1. Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners
- Author
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AbdulAziz, Maulana, Abdulaziz, Maulana, Nakamura, Tomoya, Yamaguchi, Masahiro, Kiyuna, Tomoharu, Yamashita, Yoshiko, Abe, Tokiya, Hashiguchi, Akinori, and Sakamoto, Michiie
- Subjects
business.industry ,Computer science ,Color correction ,0206 medical engineering ,Digital pathology ,02 engineering and technology ,020601 biomedical engineering ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,Artificial Intelligence ,Feature (computer vision) ,Liver tissue ,Computer vision ,Artificial intelligence ,business ,030217 neurology & neurosurgery - 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.
- Published
- 2018