PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation
文献类型：会议论文
| 作者 | Yin, Pengshuai; Wu, Qingyao; Xu, Yanwu; Min, Huaqing; Yang, Ming; Zhang, Yubing; Tan, Mingkui |
| 出版日期 | 2019 |
| 会议日期 | OCT 13-17, 2019 |
| 关键词 | DIGITAL FUNDUS IMAGES |
| 卷号 | 11764 |
| DOI | 10.1007/978-3-030-32239-7_15 |
| 英文摘要 | Accurate segmentation of optic disc (OD) and optic cup (OC) is a fundamental task for fundus image analysis. Most existing methods focus on segmenting OD and OC inside the optic nerve head (ONH) area but paying little attention to accurate ONH localization. In this paper, we propose a Mask-RCNN based paradigm to localize ONH and jointly segment OD and OC in a whole fundus image. However, directly using Mask-RCNN faces some critical issues: First, for some glaucoma cases, the highly overlapping of OD and OC may lead to the missing of OC proposals. Second, some proposals may not fully surround the object, and thus the segmentation can be incomplete. Last, the instance head in Mask-RCNN cannot well incorporate the prior such as the OC is inside the OD. To address these issues, we first propose a segmentation based region proposal network (RPN) to improve the accuracy of proposals and then propose a pyramid RoIAlign module to aggregate the multi-level information to get a better feature representation. Furthermore, we employ a multi-label head strategy to incorporate the prior for better performance. Extensive experiments verify our 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/174433/23296]  |
| 专题 | 会议专题 会议专题_会议论文 |
| 推荐引用方式 GB/T 7714 | Yin, Pengshuai,Wu, Qingyao,Xu, Yanwu,et al. PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup 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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