DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling
文献类型：会议论文
| 作者 | Gu, Zaiwang; Liu, Peng; Zhou, Kang; Jiang, Yuming; Mao, Haoyu; Cheng, Jun; Liu, Jiang |
| 出版日期 | 2018 |
| 会议日期 | SEP 16-20, 2018 |
| 关键词 | CUP |
| 卷号 | 11039 |
| DOI | 10.1007/978-3-030-00949-6_30 |
| 英文摘要 | The optic disc (OD) segmentation is an important step for fundus image base disease diagnosis. In this paper, we propose a novel and effective method called DeepDisc to segment the OD. It mainly contains two components: atrous convolution and spatial pyramid pooling. The atrous convolution adjusts filter's field-of-view and controls the resolution of features. In addition, the spatial pyramid pooling module probes convolutional features at multiple scales and encodes global context information. Both of them are used to further boost OD segmentation performance. Finally, we demonstrate that our DeepDisc system achieves state-of-the-art disc segmentation performance on the ORIGA and Messidor datasets without any post-processing strategies, such as dense conditional random field. |
| 会议录出版者 | Lecture Notes in Computer Science |
| 学科主题 | Computer Science ; Imaging Science & Photographic Technology |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-00949-6; 978-3-030-00948-9 |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/23322]  |
| 专题 | 会议专题 会议专题_会议论文 |
| 推荐引用方式 GB/T 7714 | Gu, Zaiwang,Liu, Peng,Zhou, Kang,et al. DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling[C]. 见:. SEP 16-20, 2018. |
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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