Quality Enhancement Technique for Gray Level Immunohistochemistry Images

被引:0
作者
Smitha, P. [1 ]
Shajy, L. [1 ]
Marichami, P. [2 ]
机构
[1] Coll Engn Karunagappally, Dept CSE, Kollam, Kerala, India
[2] PSR Coll Engn, Sivakasi, Tamil Nadu, India
来源
2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC) | 2014年
关键词
Immunohistochemistry; Contrast enhancement; Histogram Equalization; segmentation; HISTOGRAM EQUALIZATION; CONTRAST ENHANCEMENT;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Study of breast cancer through Immunohistochemistry (IHC) images are focused in this paper. In IHC technique it detects the specific type of proteins from sample tissue sections. The qualitative analysis of tissue is done through the visual inspection and manual staining method. The perception of pathologist is a considering factor in this case. The differences in staining methods may provide various results by different pathologist. So an enhancement technique, suitable to improve the quality of the images is a major challenge in cytopathology. In this paper we discus different enhancement techniques suitable to enhance the IHC images. Segmentation can be done properly with an efficient enhancement technique. The features can easily be extracted from properly enhanced and segmented image. Better feature leads to efficient grading of malignant cells.
引用
收藏
页码:958 / 961
页数:4
相关论文
共 15 条