An image retrieval method of mammary cancer based on convolutional neural network

doi:10.3233/jifs-179386

CIOMP OpenIR

	An image retrieval method of mammary cancer based on convolutional neural network
	D. Wang,H. W. Zhao and Q. L. Li
	2020
发表期刊	Journal of Intelligent & Fuzzy Systems
ISSN	1064-1246
卷号	38 期号:1 页码:115-126
摘要	This paper designs a brand-new image retrieval method of mammary cancer based on convolution neural network. This method simulates VLAD layer in CNN network structure, designs a trainable universal VLAD layer-NET VLAD layer, reduces dimensions and optimizes VLAD descriptors, applies structure from motion algorithm to automatically label samples, and obtains the minimum loss function value by a new training program of weakly supervised ranking loss. Experiments show that this method has improved retrieval performance compared with similar retrieval methods and non-network structure retrieval methods.
DOI	10.3233/jifs-179386
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收录类别	SCI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64587
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	D. Wang,H. W. Zhao and Q. L. Li. An image retrieval method of mammary cancer based on convolutional neural network[J]. Journal of Intelligent & Fuzzy Systems,2020,38(1):115-126.
APA	D. Wang,H. W. Zhao and Q. L. Li.(2020).An image retrieval method of mammary cancer based on convolutional neural network.Journal of Intelligent & Fuzzy Systems,38(1),115-126.
MLA	D. Wang,H. W. Zhao and Q. L. Li."An image retrieval method of mammary cancer based on convolutional neural network".Journal of Intelligent & Fuzzy Systems 38.1(2020):115-126.

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