Attention Guided Network for Retinal Image Segmentation
文献类型：会议论文
| 作者 | Zhang, Shihao; Fu, Huazhu; Yan, Yuguang; Zhang, Yubing; Wu, Qingyao; Yang, Ming; Tan, Mingkui; Xu, Yanwu |
| 出版日期 | 2019 |
| 会议日期 | OCT 13-17, 2019 |
| 关键词 | VESSEL SEGMENTATION CUP SEGMENTATION |
| 卷号 | 11764 |
| DOI | 10.1007/978-3-030-32239-7_88 |
| 英文摘要 | Learning structural information is critical for producing an ideal result in retinal image segmentation. Recently, convolutional neural networks have shown a powerful ability to extract effective representations. However, convolutional and pooling operations filter out some useful structural information. In this paper, we propose an Attention Guided Network (AG-Net) to preserve the structural information and guide the expanding operation. In our AG-Net, the guided filter is exploited as a structure sensitive expanding path to transfer structural information from previous feature maps, and an attention block is introduced to exclude the noise and reduce the negative influence of background further. The extensive experiments on two retinal image segmentation tasks (i.e., blood vessel segmentation, optic disc and cup segmentation) demonstrate the effectiveness of our proposed method. |
| 会议录出版者 | Lecture Notes in Computer Science |
| 学科主题 | Computer Science ; Engineering ; Microscopy ; Neurosciences & Neurology ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-32239-7; 978-3-030-32238-0 |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/23297]  |
| 专题 | 会议专题 会议专题_会议论文 |
| 推荐引用方式 GB/T 7714 | Zhang, Shihao,Fu, Huazhu,Yan, Yuguang,et al. Attention Guided Network for Retinal Image Segmentation[C]. 见:. OCT 13-17, 2019. |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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