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Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features

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Abstract

Echinococcosis—a parasitic disease caused by Echinococcus granulosus or Echinococcus multilocularis larvae—occurs in many regions in the world. This disease can pose a serious threat to public health and thus requires a convenient and cost-effective method for early detection. So, we developed a novel method based on visual saliency and scale-invariant features that detects the tapeworm parasites. This method improves upon existing bottom-up computational saliency models by introducing a visual attention mechanism. The results indicated that the proposed method offers a higher level of both accuracy and computational efficiency when detecting Echinococcus granulosus protoscoleces, which in turn could improve early detection of echinococcosis.

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DOI:10.3788/col201917.041703

所属栏目:Medical optics and biotechnology

基金项目:This work is supported by the Urumqi Science and Technology Project (Nos. P161310002 and Y161010025), the Reserve Talents Project of the National Highlevel Personnel of Special Support Program (No. QN2016YX0324), and the Reserve National Youth Talent Support Program (No. Xinjiang [2014]22).

收稿日期:2018-11-11

录用日期:2019-01-10

网络出版日期:2019-03-29

作者单位    点击查看

Zhuang Li:School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Guodong Lü:Xinjiang Key Laboratory of Echinococcosis, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
Xiaoyi Lü:College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China

联系人作者:Xiaoyi Lü(xiaoz813@163.com)

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引用该论文

Zhuang Li, Guodong Lü, Xiaoyi Lü, "Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features," Chinese Optics Letters 17(4), 041703 (2019)

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