Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation

Convex shapes are common priors for optic disc and cup segmentation in eye fundus images. This method is proposed to guarantee that outputs are convex shapes.

Data and Resources

Cite this as

Jun Liu, Xue-cheng Tai, Shousheng Luo (2024). Dataset: Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. https://doi.org/10.57702/c8n99cv8

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Author Jun Liu
More Authors
Xue-cheng Tai
Shousheng Luo
Homepage https://arxiv.org/abs/2002.03989