Type P63 non-counter stained digitized color images performs better identification than other stains for ovarian tissue analysis
Document Type
Conference Proceeding
Publication Title
2016 20th International Conference Information Visualisation (IV)
Publisher
Institute of Electrical and Electronics Engineers Inc.
Place of Publication
United States
School
School of Engineering
RAS ID
23345
Abstract
In comparison to existing electronic scanners biopsy slides analysis using microscopes is considered as most viable approach in the pathology laboratory to perform routine examination and to determine the actual condition of human ovarian reproductive tissues. An expert needs longer processing time during manual microscopic analysis and there is inconsistent result among experts. A suitable computerized approach may be a more viable option to overcome the issues associated with manual approach. In this paper different types of images acquired from different biopsy slides were incorporated for a comprehensive review and analysis purpose. A new modified approach has been presented in this study which can reduce processing time and indicates improved accuracy. Comparative results indicate that type P63 non-counter stained performs better identification result. © 2016 IEEE.
DOI
10.1109/IV.2016.49
Access Rights
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Comments
Sazzad, T. S., Armstrong, L. J., & Tripathy, A. K. (2016). Type P63 non-counter stained digitized color images performs better identification than other stains for ovarian tissue analysis. 2016 20th International Conference Information Visualisation (IV), Article number 7557953, 361-366. Available here.