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

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摘要

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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引用该论文

Li Zhuang,lv xiaoyi. Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features[J].Chinese Optics Letters,2019,17(4):04.