中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation

文献类型:期刊论文

作者Cong-Zhong Wu1; Jing Wang
刊名International Journal of Automation and Computing
出版日期2021
卷号18期号:6页码:973-980
关键词Retina vessel segmentation deep learning U-Net attention mechanism medical image
ISSN号1476-8186
DOI10.1007/s11633-020-1277-0
英文摘要Retina vessel segmentation is a vital step in diagnosing ophthalmologic diseases. Traditionally, ophthalmologists segment retina vessels by hand, which is time-consuming and error-prone. Thus, more and more researchers are committed to the research of automatic segmentation algorithms. With the development of convolution neural networks (CNNs), many tasks can be solved by CNNs. In this paper, we propose an encoding-decoding network with a pyramid self-attention module (PSAM) to segment retinal vessels. The network follows a U shape structure, and it comprises stacked feature selection blocks (FSB) and a PSAM. The proposed FSB consists of two convolution blocks with the same weight and a channel-wise attention block. At the head of the network, we apply a PSAM consisting of three parallel self-attention modules to capture long-range dependence of different scales. Due to the power of PSAM and FSB, the performance of the network improves. We have evaluated our model on two public datasets: DRIVE and CHASE_DB1. The results show the performance of our model is better than other methods. The F1, Accuracy, and area under curve (AUC) are 82.21%/80.57%,95.65%/97.02%, and 98.16%/98.46% on DRIVE and CHASE_DB1, respectively.
源URL[http://ir.ia.ac.cn/handle/173211/46103]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China
2.The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China
推荐引用方式
GB/T 7714
Cong-Zhong Wu,Jing Wang. Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation[J]. International Journal of Automation and Computing,2021,18(6):973-980.
APA Cong-Zhong Wu,&Jing Wang.(2021).Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation.International Journal of Automation and Computing,18(6),973-980.
MLA Cong-Zhong Wu,et al."Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation".International Journal of Automation and Computing 18.6(2021):973-980.

入库方式: OAI收割

来源:自动化研究所

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