Improved Local Morphology Fitting Active Contour with Weighted Data Term for Vessel Segmentation
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Published:2019-10-02
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Volume:
Page:55-62
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ISSN:2194-5357
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Container-title:Recent Trends in Intelligent Computing, Communication and Devices
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language:
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Author:
Wang Xuan,Sun Kaiqiong
Publisher
Springer Singapore
Reference16 articles.
1. Sun, K.Q.: Development of segmentation methods for vascular angiogram. IETE Tech. Rev. 28(5), 392–399 (2011) 2. Lu, C.Y., Jing, B.Z, Chan, P.P.K., et al.: Vessel enhancement of low quality fundus image using mathematical morphology and combination of Gabor and matched filter. In: Wavelet Analysis and Pattern Recognition (ICWAPR), 2016 International Conference on. IEEE, pp. 168–173 (2016) 3. Sun, K.Q., Chen, Z., Jiang, S., et al.: Morphological multiscale enhancement, fuzzy filter and watershed for vascular tree extraction in angiogram. J. Med. Syst. 35(5), 811–824 (2011) 4. Jin, D., Iyer, K.S., Chen, C., et al.: A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths. Pattern Recogn. Lett. 76, 32–40 (2016) 5. Kalaie, S., Gooya, A.: Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model. Comput. Methods Progr. Biomed. (2017)
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