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For: Fathi A, Naghsh-Nilchi AR. General rotation-invariant local binary patterns operator with application to blood vessel detection in retinal images. Pattern Anal Appl 2011. [DOI: 10.1007/s10044-011-0257-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Number Cited by Other Article(s)
1
Mookiah MRK, Hogg S, MacGillivray TJ, Prathiba V, Pradeepa R, Mohan V, Anjana RM, Doney AS, Palmer CNA, Trucco E. A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification. Med Image Anal 2020;68:101905. [PMID: 33385700 DOI: 10.1016/j.media.2020.101905] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 12/20/2022]
2
L Srinidhi C, Aparna P, Rajan J. Recent Advancements in Retinal Vessel Segmentation. J Med Syst 2017;41:70. [DOI: 10.1007/s10916-017-0719-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 03/01/2017] [Indexed: 11/28/2022]
3
Fathi A, Naghsh-Nilchi AR. Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation. Biomed Signal Process Control 2013. [DOI: 10.1016/j.bspc.2012.05.005] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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