Transactions on Mass-Data Analysis of Images and Signals (ISSN:1868-6451)

Volume 7 - Number 1 - September 2017 - Page 41-51

Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis

T. M. Shahriar Sazzad1,*, L.J.Armstrong1, A.K.Tripathy1, 2 1

Edith Cowan University, WA, Australia 2Don Bosco Institute of Technology, Mumbai, India


Pathology experts use microscopic biopsy slides for routine examination of different tissues especially ovarian tissues. Substantial amount of processing time is required for this type of manual identification process. Ultrasound is considered as most popular electronic scanning modalities for cancer tissue analysis rather than ovarian tissue analysis. For smaller tissue analysis a more suitable option is to use a computer based approach as it can reduce processing time and effort while increasing the accuracy rate. In this paper a complete review and analysis has been carried out on existing available approaches and a new modified approach has been presented. Comparative results indicate an acceptable accuracy and identification rate.

Keywords: histopathology; color digitized microscopic image; image artifacts; mean shift; region fusion; cluster; ovarian reproductive tissues

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