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دسته بندی:
بینایی ماشین - Machine vision
سال انتشار:
2017
عنوان انگلیسی مقاله:
Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach
ترجمه فارسی عنوان مقاله:
تشخیص کامپیوتری توده های ماموگرافی براساس روش بازیابی تصویر مبتنی بر محتوا
منبع:
Sciencedirect - Elsevier - Pattern Recognition, 71 (2017) 106-117. doi:10.1016/j.patcog.2017.05.023
نویسنده:
Lazaros Tsochatzidis, Konstantinos Zagoris, Nikolaos Arikidis, Anna Karahaliou, Lena Costaridou, Ioannis Pratikakis
چکیده انگلیسی:
Article history:Received 1 September 2016Revised 28 April 2017Accepted 25 May 2017Available online 26 May 2017Keywords: Mammography MassesCBIR CADx SVMIn this work, the incorporation of content-based image retrieval (CBIR) into computer aided diagnosis (CADx) is investigated, in order to contribute to the decision-making process of radiologists in the char- acterization of mammographic masses. The proposed scheme comprises two stages: A margin-specific su- pervised CBIR stage that retrieves images from reference cases along with a decision stage that is based on the retrieved items. The feature set utilized exploits state-of-the-art features along with a newly pro- posed texture descriptor, namely mHOG, targeted to capturing margin and core specific mass properties. Performance evaluation considers the CBIR and diagnosis stages separately and is addressed by using standard measures on an enhanced version of the widely adopted digital database for screening mam- mography (DDSM). The proposed scheme achieved improved performance of CADx of masses in X-ray mammography experimentally compared to the state-of-the-art.© 2017 Elsevier Ltd. All rights reserved.
Keywords: Mammography | Masses | CBIR | CADx | SVM
قیمت: رایگان
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