Color Swapping to Enhance Breast Cancer Digital Images Qualities Using Stain Normalization

被引：2

作者：

Muhimmah, Izzati ^{[1
]}

Wijaya, Dhina Puspasari ^{[2
]}

Indrayanti ^{[3
]}

机构：

[1] Univ Islam Indonesia, Dept Informat Engn, Jl Kaliurang Km 14, Yogyakarta 55510, Indonesia

[2] Univ Islam Indonesia, Informat Engn, Jl Kaliurang Km 14, Yogyakarta 55510, Indonesia

[3] Univ Muhammadiyah Yogyakarta, Fac Med & Hlth Sci, Jl Kaliurang Km 14, Yogyakarta 55510, Indonesia

来源：

INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND DIGITAL APPLICATIONS | 2017年 / 185卷

关键词：

D O I：

10.1088/1757-899X/185/1/012029

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Histopathology is the disease diagnosis by means of the visual examination of tissues under the microscope. The virtually transparent tissue sections were prepared using a number of colored histochemical stains bound selectively to the cellular components. A variation of colors comes to be a problem in histopathology based upon the microscope lighting for the range of factors. This research aimed to investigate an image enhancement by applying a nonlinear mapping approach to stain normalization and histogram equalization for contrast enhancement. Validation was carried out in 59 datasets with 96.6% accordance and expert justification.

引用

页数：7

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