An optimal approach to detect retinal diseases by performing segmentation of retinal blood vessels using image processing

Author:

Sreemathy J.ORCID,Arun A.ORCID,Aruna M.ORCID,Vigneshwaran P.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference30 articles.

1. Abràmoff MD, Garvin MK, Sonka M (2018) Retinal imaging and image analysis. IEEE Trans Med Imaging 1(3):169–208

2. Bhowmik KK, Roy S, Bhowmik AK “An optimal approach to detect retinal diseases by performing segmentation of retinal blood vessels using image processing,” In: Proceedings of the IEEE international conference on image processing, 2020, pp 59–63

3. Budai A, Bock R, Maler A et al (2018) Robust vessel segmentation in fundus image. Int J Biomed Imaging. https://doi.org/10.1155/2013/154860

4. Chakraborti T, Chowdry AS (2017) A self-adaptive matched filter for retinal blood vessel detection. Springer Verlag, Machine Vision and Applications. Berlin HeidelBerg

5. Chaudhuri S, Chatterjee S, Katz N et al (2018) Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans Med Imaging 8:263–269

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