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Learned local similarity prior embedding active contour model for choroidal neovascularization segmentation in optical coherence tomography images

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61701280), Natural Science Foundation of Shandong Province (Grant No. ZR2016FQ18), National Natural Science Foundation of China (Grant Nos. 61573219, 81371629, 61671274, 61701281, 61703235), Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions, Shandong Provincial Key Research and Development Plan (Grant No. 2017CXGC1504), National Basic Research Program of China (973 Program) (Grant No. 2014CB748600).

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Authors and Affiliations

  1. School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, 250014, China

    Xiaoming Xi, Xianjing Meng, Lu Yang, Xiushan Nie & Chunyun Zhang

  2. Technology Center, Inspur Group Co., Ltd., Jinan, 250101, China

    Xiaoming Xi & Zhilou Yu

  3. Joint Shantou International Eye Center, Shantou University and The Chinese University of Hong Kong, Shantou, 515063, China

    Haoyu Chen & Xinjian Chen

  4. School of Computer Science and Technology, Shandong University, Jinan, 250101, China

    Yilong Yin

  5. School of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China

    Xinjian Chen

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  1. Xiaoming Xi
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  2. Xianjing Meng
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  3. Lu Yang
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  4. Xiushan Nie
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  5. Zhilou Yu
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  7. Haoyu Chen
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  8. Yilong Yin
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  9. Xinjian Chen
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Correspondence to Yilong Yin or Xinjian Chen.

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Xi, X., Meng, X., Yang, L. et al. Learned local similarity prior embedding active contour model for choroidal neovascularization segmentation in optical coherence tomography images. Sci. China Inf. Sci. 61, 099102 (2018). https://doi.org/10.1007/s11432-017-9247-8

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  • DOI: https://doi.org/10.1007/s11432-017-9247-8

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