Type P63 digitized color images performs better identification than other stains for ovarian tissue analysis [IEEE]
Abstract
For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better choice to incorporate a computer based approach. In this paper existing research work related review has been carried out and a new modified approach has been presented. The proposed study results indicate improved and an acceptable accuracy rate in comparison to manual microscopic analysis and other existing computer based approaches.
RAS ID
23252
Document Type
Conference Proceeding
Date of Publication
2017
School
School of Science
Copyright
subscription content
Publisher
IEEE
Recommended Citation
Sazzad, T., Armstrong, L., & Tripathy, A. K. (2017). Type P63 digitized color images performs better identification than other stains for ovarian tissue analysis [IEEE]. DOI: https://doi.org/10.1109/IPAS.2016.7880069
Comments
Sazzad, T. M. S., Armstrong, L. J., & Tripathy, A. K. (2017). Type P63 digitized color images performs better identification than other stains for ovarian tissue analysis. In International Image Processing, Applications and Systems Conference (IPAS). IEEE.
https://doi.org/10.1109/IPAS.2016.7880069