DocumentCode
3579292
Title
Quality enhancement technique for gray level immunohistochemistry images
Author
Smitha, P ; Shajy, L ; Marichami, P.
Author_Institution
Department of CSE, College of Engineering, Karunagappally, Kollam, Kerala, India
fYear
2014
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
Breast cancer; Brightness; Entropy; Histograms; Image color analysis; Image segmentation; Immune system; Contrast enhancement; Histogram Equalization; Immunohistochemistry; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-3974-9
Type
conf
DOI
10.1109/ICCIC.2014.7238496
Filename
7238496
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