Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein
Artery/Vein Classification 论文链接 1. 期刊 MICCAI 2019 2. 亮点 使用illumination correction (IC)和vessel enhancement (VE)增强数据，并和原始数据一起作为网络的输入 在网络输出端，利用multi-task思想将输出分为两个分支，其中一个分割血管，另外一个分割动静脉 在multi-task
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相关文章
- 1. 《Dense Residual Network for Retinal Vessel Segmentation》
- 2. 论文阅读——Multi-task Neural Networks with Spatial Activation for RVS and Artery/Vein Classification
- 3. 《Dual Encoding U-Net for Retinal Vessel Segmentation》阅读笔记-MICCAI2019
- 4. Illumination correction by dehazing for retinal vessel segmentation
- 5. 论文笔记：Exploring Neural Networks with Activation Atlases
- 6. Brain tumor segmentation with Deep Neural Networks
- 7. 《Unsupervised Ensemble Strategy for Retinal Vessel Segmentation》--阅读笔记-MICCAI2019
- 8. MS-NFN Model for Retinal Vessel Segmentation（血管分割）
- 9. 论文阅读——Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation
- 10. 论文阅读——A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation