Title

A comprehensive analysis and review: Automated ovarian tissue detection using type P63 pathology color images

Document Type

Conference Proceeding

Publisher

IEEE

School

School of Science

RAS ID

23346

Comments

Originally published as: Sazzad, T. S., Armstrong, L. J., & Tripathy, A. K. (2016, July). A comprehensive analysis and review: Automated ovarian tissue detection using type P63 pathology color images. In Computer Science and Software Engineering (JCSSE), 2016 13th International Joint Conference on (pp. 1-6). IEEE. Original article available here

Abstract

Microscopic biopsy slides are used in the pathology laboratory by experts for general routine examination process to analyze various types of tissues. The manual microscopic analysis using biopsy slides is considered as a most viable approach but requires substantial amount of time and has observation variation issues among experts especially for smaller types tissue analysis. Available existing imaging modalities especially ultrasound scanner is a common device to analyze various types of tissues and is mainly suitable for larger tissue analysis. Computerized automated approach could be a more viable option as smaller tissues can be analyzed with less effort and in a short period of time with an acceptable accuracy rate. In this paper a complete review has been carried out on existing available approaches and a new modified approach has been presented for type P63 histopathology color images using three different magnifications which indicates improved accuracy rate.

DOI

10.1109/JCSSE.2016.7748857

Access Rights

Not open access

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