A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation

no code implementations • 26 Sep 2019 • Yukun Zhou, Zailiang Chen, Hailan Shen, Xianxian Zheng, Rongchang Zhao, Xuanchu Duan

In this work, we present an end-to-end synthetic neural network, containing a symmetric equilibrium generative adversarial network (SEGAN), multi-scale features refine blocks (MSFRB), and attention mechanism (AM) to enhance the performance on vessel segmentation.

Computational Efficiency Generative Adversarial Network +2