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Permanent URI for this communityhttps://hdl.handle.net/20.500.14719/1741

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Start date: 2010Type: search.filters.itemtype.Conference PaperSubject: search.filters.subject.Signal processingAuthor: search.filters.author.Arica, NafizAuthor: search.filters.author.Aktan, Pinar Ece

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    Risk classification for breast cancer diagnosis using HER2 testing, Meme Kanseri Tanisi için HER2 Testine Dayali Risk Siniflandirmasi
    (Institute of Electrical and Electronics Engineers Inc., 2016) Aktan, Pinar Ece; Hatipoglu, Gokhan; Arica, Nafiz; Aktan, Pinar Ece, Bilgisayar Mühendisliǧi Bölümü, Bahçeşehir Üniversitesi, Istanbul, Turkey; Hatipoglu, Gokhan, Virasoft, Istanbul, Turkey; Arica, Nafiz, Bilgisayar Mühendisliǧi Bölümü, Bahçeşehir Üniversitesi, Istanbul, Turkey
    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. © 2017 Elsevier B.V., All rights reserved.