An image retrieval method of mammary cancer based on convolutional neural network | |
D. Wang,H. W. Zhao and Q. L. Li | |
刊名 | Journal of Intelligent & Fuzzy Systems
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2020 | |
卷号 | 38期号:1页码:115-126 |
ISSN号 | 1064-1246 |
DOI | 10.3233/jifs-179386 |
英文摘要 | 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. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [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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