SVD-based maximum principal curvatures for segmentation of blood vessels from diabetic retinopathy fundus images using level sets
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09039-2.pdf
Reference19 articles.
1. Budai A, Bock R, Maier A, Hornegger J, Michelson G (2013) Robust vessel segmentation in fundus images. Int J Biomed Imaging vol 2013
2. Du H, He S, Sheng B, Ma L, Lau RWH (2015) Saliency-guided color-to-gray conversion using region-based optimization. IEEE Trans Image Process 24(1):434–443. https://doi.org/10.1109/tip.2014.2380172
3. Finlayson G D, Qiu G, Qiu M (1999) Contrast maximizing and brightness preserving color to grayscale image conversion
4. Hussain S et al (2020) Contextual level-set method for breast tumor segmentation. IEEE Access 8:189343–189353. https://doi.org/10.1109/ACCESS.2020.3029684
5. Li M, Zhan Y, Ge Y (2020) Fractional distance regularized level set evolution with its application to image segmentation. IEEE Access 8:84604–84617. https://doi.org/10.1109/ACCESS.2020.2991727
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