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Risk classification for breast cancer diagnosis using HER2 testing | IEEE Conference Publication | IEEE Xplore

Risk classification for breast cancer diagnosis using HER2 testing


Abstract:

Trastuzumab is one of the effective treatment for breast cancer. It is an antibody against the protein product of the human epidermal growth factor receptor type 2 (HER2)...Show More

Abstract:

Trastuzumab is one of the effective treatment for breast cancer. It is an antibody against the protein product of the human epidermal growth factor receptor type 2 (HER2) gene. In HER-2 testing protein levels are determined by IHC staining. For a proper treatment IHC stains are evaluated together with ISH stains. The widespread approach done by the experts is to determine membranes manually, yet it leads subjective interpretation by pathologist and it increases their workload. In this paper, we propose a new method for HER-2 testing based on image analysis algorithms on membrane regions. After, maximally stable extremal regions algorithm is employed for detecting the membrane regions, these areas of those regions are analyzed quantitatively for IHC classification. In the next step, complete/incomplete membrane regions are determined for IHC 2+ classification. The experiments conducted on the IHC stains taken from the clinic patients. Analysis resulted with the successful classification rates.
Date of Conference: 16-19 May 2016
Date Added to IEEE Xplore: 23 June 2016
ISBN Information:
Conference Location: Zonguldak, Turkey