Type P63 digitized color images performs better identification for ovarian tissue analysis
Document Type
Conference Proceeding
Publisher
ibai publishing
School
School of Science
RAS ID
24506
Abstract
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.
Access Rights
free_to_read
Comments
Sazzad, T., Armstrong, L., & Tripathy, A. (2017). Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis. In 11th International Conference on Mass Data Analysis of Images and Signals.
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