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https://hdl.handle.net/20.500.11851/2751
Title: | Noise Reduction Filter Optimization for Prostate Cancer Localization | Other Titles: | Prostat Kanseri Lokalizasyonu için Gürültü Temizleme Süzgeçleri Optimizasyonu | Authors: | Arın, Efe Yetik, İmam Şamil |
Keywords: | Prostatic neoplasms prostate endorectal coil |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Source: | Arın, E., and şamil Yetik, İ. (2019, April). Noise Reduction Filter Optimization For Prostate Cancer Localization. In 2019 27th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE. | Abstract: | Multispectral Magnetic Resonance Imaging (MRI) images are commonly used in prostate cancer diagnosis. However noise in raw data makes it difficult to process images. Therefore MR images must be filtered as a pre-processing step prior to automated localization. In the literature, filters and their parameters are generally selected depending on experiences in the field. In this research, a method, not found in the literature, is proposed such that the system can choose optimal filter parameters to maximize cancer localization. In order to use on KEL, KEP, and IAUC 30, 60, 90 parameters, obtained from multispectral MR images, 3 different filters (wiener filter, total variance filter and wavelet thresholding) and a parameter for each filtering is chosen to maximize localization performance. Linear discriminant analysis is used for localization and observed that optimally selecting the filtering method and its parameter improves prostate cancer localization performance. © 2019 IEEE. | URI: | https://ieeexplore.ieee.org/document/8806426 https://hdl.handle.net/20.500.11851/2751 |
ISBN: | 978-172811904-5 |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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