Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation

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Learning fully-connected crfs for blood vessel segmentation in retinal images

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U-net: Convolutional networks for biomedical image segmentation

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Holistically-nested edge detection

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Retinal vessel segmentation via deep learning network and fully-connected conditional random fields

H. Fu, Y. Xu, D. W. K. Wong, and J. Liu · 2016

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Segmenting retinal blood vessels with deep neural networks

P. Liskowski and K. Krawiec · 2016

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Deep retinal image understanding

K.-K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool · 2016

Cited alongside, same era.

Retinal vessel segmentation in fundoscopic images with generative adversarial networks

Original

J. Son, S. J. Park, and K.-H. Jung · 2017

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Recent advancements in retinal vessel segmentation

C. L. Srinidhi, P. Aparna, and J. Rajan · 2017

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Iterative deep learning for network topology extraction

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C. Ventura, J. Pont-Tuset, S. Caelles, K.-K. Maninis, and L. Van Gool · 2017

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Performance comparison of publicly available retinal blood vessel segmentation methods

P. Vostatek, E. Claridge, H. Uusitalo, M. Hauta-Kasari, P. Fält, and L. Lensu · 2017

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Road structure refined cnn for road extraction in aerial image

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