Type P63 digitized color images performs better identification than other stains for ovarian tissue analysis

Document Type

Conference Proceeding

Publication Title

Articulated Motion and Deformable Objects


Springer Verlag


School of Computer and Security Science




Sazzad, T. S., Armstrong, L. J., & Tripathy, A. K. (2016, July). Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis. In Articulated Motion and Deformable Objects (pp. 44-54). Springer. Available here


Ovarian reproductive tissues are responsible for human reproduction. It is important for the pathology experts to perform routine examination for ovarian reproductive tissues to prescribe necessary treatments for women who face conceiving complications. Manual microscopic analysis is considered the best analysis approach for experts in the laboratory as existing scanning modalities do not provide satisfactory results for identification. Due to longer processing time and observation variability between experts computer based approaches have become popular as it can reduce time and can identify the reproductive tissue accurately. In this paper a new modified approach is presented and comparative analysis were performed using existing computer based approaches on three different types of digitized images acquired from microscopic biopsy slides. Proposed new modified approach indicates acceptable accuracy rate in comparison to manual identification approach to analyze ovarian reproductive tissues. © Springer International Publishing Switzerland 2016.



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