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