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Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey
Huang, Qinghua1,2,3; Zhang, Fan4; Li, Xuelong5; Huang, QH (reprint author), Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China.
作者部门光学影像学习与分析中心
2018
发表期刊BIOMED RESEARCH INTERNATIONAL
ISSN2314-6133
产权排序5
摘要The ultrasound imaging is one of the most common schemes to detect diseases in the clinical practice. There are many advantages of ultrasound imaging such as safety, convenience, and low cost. However, reading ultrasound imaging is not easy. To support the diagnosis of clinicians and reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD) systems are proposed. In recent years, the success of deep learning in the image classification and segmentation led to more and more scholars realizing the potential of performance improvement brought by utilizing the deep learning in the ultrasound CAD system. This paper summarized the research which focuses on the ultrasound CAD system utilizingmachine learning technology in recent years. This study divided the ultrasound CAD system into two categories. One is the traditional ultrasound CAD system which employed the manmade feature and the other is the deep learning ultrasound CAD system. The major feature and the classifier employed by the traditional ultrasound CAD system are introduced. As for the deep learning ultrasound CAD, newest applications are summarized. This paper will be useful for researchers who focus on the ultrasound CAD system.
文章类型Review
学科领域Biotechnology & Applied Microbiology
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1155/2018/5137904
收录类别SCI
关键词[WOS]CONVOLUTIONAL NEURAL-NETWORKS ; POWER DOPPLER ULTRASOUND ; BREAST ULTRASOUND ; IMAGE CLASSIFICATION ; CAROTID ULTRASOUND ; TRANSFORM FEATURES ; TEXTURE ; LESIONS ; TUMORS ; MASSES
语种英语
WOS研究方向Biotechnology & Applied Microbiology ; Research & Experimental Medicine
WOS类目Biotechnology & Applied Microbiology ; Medicine, Research & Experimental
WOS记录号WOS:000426555700001
引用统计
被引频次:78[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/29989
专题光谱成像技术研究室
通讯作者Huang, QH (reprint author), Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China.
作者单位1.Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China
2.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China
3.Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
4.South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
5.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Huang, Qinghua,Zhang, Fan,Li, Xuelong,et al. Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey[J]. BIOMED RESEARCH INTERNATIONAL,2018.
APA Huang, Qinghua,Zhang, Fan,Li, Xuelong,&Huang, QH .(2018).Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey.BIOMED RESEARCH INTERNATIONAL.
MLA Huang, Qinghua,et al."Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey".BIOMED RESEARCH INTERNATIONAL (2018).
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