A new computer-aided detection approach based on analysis of local and global mammographic feature asymmetry.

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作者： Adam,Kelder ^[1] ; Dror,Lederman ^[1] ; Bin,Zheng ^[2] ; Yaniv,Zigel ^[3]

作者单位： Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ^[1] Department of Electrical Engineering, Holon Institute of Technology, Holon, Israel. ^[2] School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA. ^[3]

关键词 bilateral mammographic feature asymmetry analysis breast cancer risk assessment computer-aided detection (CAD)medical image analysis

主题词乳房(Breast);乳腺肿瘤(Breast Neoplasms);诊断, 计算机辅助(Diagnosis, Computer-Assisted);女(雌)性(Female);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);乳房X线摄影术(Mammography)

DOI 10.1002/mp.12806

PMID 29431858

发布时间 2018-08-27

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