CASIA OpenIR  > 多模态人工智能系统全国重点实验室  > 三维可视计算
RETINAL VESSEL SEGMENTATION VIA CONTEXT GUIDE ATTENTION NET WITH JOINT HARD SAMPLE MINING STRATEGY
Changwei Wang1,2; Rongtao Xu1,2; Yuyang Zhang1,2; Shibiao Xu1,2; Xiaopeng Zhang1,2
2021
Conference NameIEEE 18th International Symposium on Biomedical Imaging (ISBI)
Conference Date2021
Conference Place法国尼斯
Abstract

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.

Indexed ByEI
Language英语
Sub direction classification医学影像处理与分析
planning direction of the national heavy laboratory视觉信息处理
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56650
Collection多模态人工智能系统全国重点实验室_三维可视计算
Corresponding AuthorShibiao Xu; Xiaopeng Zhang
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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