Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation - researchr publication related

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Yun Jiang, Huixia Yao, Shengxin Tao, Jing Liang. Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation. Sensors, 21(18):6177, 2021. [doi]

The following publications are possibly variants of this publication:

Retinal Vessel Segmentation Based on Gated Skip-Connection NetworkHuixia Yao, Yun Jiang, Tongtong Cheng, Jing Gao. iconip 2021: 731-738 [doi]

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Patch-based fully convolutional neural network with skip connections for retinal blood vessel segmentationZhongwei Feng, Jie Yang 0002, Lixiu Yao. icip 2017: 1742-1746 [doi]

Retinal Blood Vessel Segmentation via Attention Gate NetworkKaiqi Li, Zeyi Yao, Yiwen Luo, Xingqun Qi, Pengkun Liu, Zijian Wang. isaims 2020: 247-251 [doi]

DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel SegmentationZichun Huang, Hongyan Mao, Ningkang Jiang, Xiaoling Wang. miccai 2020: 13-22 [doi]

Joint 2D attention gate and channel-spatial attention network for retinal vessel segmentation of OCT-angiography imagesBaoyu Cui, Sumin Qi, Jing Meng, Yingjie Jiang. sivp, 17(4):1219-1226, June 2023. [doi]

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