DocumentCode :
122877
Title :
A novel system for scoring of hormone receptors in breast cancer histopathology slides
Author :
Khan, Adnan M. ; Mohammed, Aisha F. ; Al-Hajri, Shama A. ; Al Shamari, Hajer M. ; Qidwai, Uvais ; Mujeeb, Imaad ; Rajpoot, Nasir M.
Author_Institution :
Coll. of Eng., Qatar Univ., Doha, Qatar
fYear :
2014
fDate :
17-20 Feb. 2014
Firstpage :
155
Lastpage :
158
Abstract :
Grading of breast cancer is often done by an expert pathologist based on their analysis of micro-level structural features of the cancerous tissue specimen as well as the level of presence of certain protein molecules in the specimen. The process of assessment of the level of presence of estrogen and progesterone receptors molecules is subjective by its very nature and therefore, causes large inter-expert and sometimes even intra-expert variability, potentially adding noise to the process of selecting the treatment regime for the patient. Quantification of immunohistochemical stains is critical for an objective assessment of breast cancer histopathology specimens. We present a fast, compact and inexpensive system for scoring the Estrogen and Progesterone hormone receptors in breast cancer histopathology slides using image analysis algorithm. We describe hardware and software issues in the construction of the system, and present a comparison of scores produced by our system to those produced by many expert pathologists.
Keywords :
biochemistry; biomedical optical imaging; cancer; medical image processing; molecular biophysics; proteins; tumours; breast cancer histopathology slides; cancerous tissue; estrogen receptors; hardware issues; hormone receptors; image analysis algorithm; immunohistochemical stains; microlevel structural features; progesterone receptors; protein molecules; software issues; Breast cancer; Erbium; Image color analysis; Immune system; Proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (MECBME), 2014 Middle East Conference on
Conference_Location :
Doha
Type :
conf
DOI :
10.1109/MECBME.2014.6783229
Filename :
6783229
Link To Document :
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