Knowledge Commons of Institute of Automation,CAS
RETINAL VESSEL SEGMENTATION VIA CONTEXT GUIDE ATTENTION NET WITH JOINT HARD SAMPLE MINING STRATEGY | |
Changwei Wang1,2![]() ![]() ![]() ![]() ![]() | |
2021 | |
会议名称 | IEEE 18th International Symposium on Biomedical Imaging (ISBI) |
会议日期 | 2021 |
会议地点 | 法国尼斯 |
摘要 | Retinal vessel segmentation is of great significance for clinical diagnosis of eye-related diseases and diabetic retinopathy. However, due to the imbalance of retinal vessel thickness distribution and the existence of a large number of capillaries, it is difficult to segment the retinal vessels correctly. To better solve this problem, we propose a novel Context Guided Attention Net (CGA-Net) with Joint hard sample mining strategy. Specifically, we propose a Context Guided Attention Module (CGAM) which can utilize both the surrounding context information and spatial attention information to promote the precision of segmentation results. As the CGAM is flexible and lightweight, it can be easily integrated into CNN architecture. To solve the problem of retinal vessel pixel imbalance, we further propose a novel Joint hard sample mining strategy (JHSM) in network training, which combines both the pixel-wise and patch-wise hard mining to largely improve the network’s robustness for hard samples. Experiments on publicly DRIVE and CHASE DB1 datasets show that our model outperforms state-of-the-art methods. Our code is available at https://github.com/vignywang/Medical_Seg. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 医学影像处理与分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56650 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
通讯作者 | Shibiao Xu; Xiaopeng Zhang |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Changwei Wang,Rongtao Xu,Yuyang Zhang,et al. RETINAL VESSEL SEGMENTATION VIA CONTEXT GUIDE ATTENTION NET WITH JOINT HARD SAMPLE MINING STRATEGY[C],2021. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Retinal_Vessel_Segme(1346KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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