Write your message
Volume 9, Issue 4 (Iranian Quarterly Journal of Breast Diseases 2017)                   ijbd 2017, 9(4): 26-36 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Jazayeriy H, Nosrati A, FayyazZadeh F. Detecting and Counting Non-Mitotic Cells of Immunohistochemical Stained Breast Tissue. ijbd 2017; 9 (4) :26-36
URL: http://ijbd.ir/article-1-581-en.html
1- Computer Engineering Department, Babol Noshivani University of Technology , jhamid@nit.ac.ir
2- Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences
3- Computer Engineering Department, Islamic Azad University
Abstract:   (7193 Views)

Detecting and Counting Non-Mitotic Cells of Immunohistochemical Stained Breast Tissue

Hamid Jazayeriy: Computer Engineering Department, Babol Noshivani University of Technology, Babol, Iran

Anahita Nosrati: Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran

Farideh FayyazZadeh: Computer Engineering Department, Islamic Azad University, Sari, Iran

Corresponding Author: Hamid Jazayeriy, jhamid@nit.ac.ir

Abstract

Introduction: The mortality burden of breast cancer among females has drawn the attention of many researches around the world from the early detection to prevention of this leading death cause. In terms of detecting cancerous cells, the identification of mitotic and non-mitotic cells is considered to play a key role. Detecting and counting non-mitotic cells in breast tissue are rather tedious and costly while preparation of the slides is believed to be a crucial step. To surmount such problems, automated analysis of medical images has been considered by applying image processing algorithms.

Methods: In this study, a framework was provided for identifying and counting non-mitotic cells of breast tissue using image processing techniques. All microscopic images of breast tissue collected from Imam Khomeini hospital in Sari, Mazandaran, Iran were stained by ER and PR immunohistochemistry (IHC). A hybrid image processing technique was also conducted in MATLAB software to implement the proposed method.

Results: The figure of merits such as accuracy, sensitivity, and precision of proposed method for counting cells were determined to be 93.15%, 91%, and 94.22%, respectively.

Conclusion: The results from automatic counting compared with that of manual counting indicating that the proposed method has good and reliable performance in identifying and counting of the non-mitotic cells.

Full-Text [PDF 76 kb]   (16331 Downloads)    
Type of Study: Research | Subject: Breast Diseases
Received: 2017/03/14 | Accepted: 2017/03/14 | Published: 2017/03/14

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Breast Diseases

Designed & Developed by: Yektaweb