Title

Type P63 non-counter stained digitized color images performs better identification than other stains for ovarian tissue analysis

Document Type

Conference Proceeding

Publisher

Institute of Electrical and Electronics Engineers Inc.

Place of Publication

United States

School

School of Engineering

RAS ID

23345

Comments

Originally published as: 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. Information Visualisation (IV), 2016 20th International Conference, Article number 7557953, 361-366. Available here.

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

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