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View all- Deng THuang YZhang J(2022)MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel SegmentationBio-Inspired Computing: Theories and Applications10.1007/978-981-19-1253-5_20(271-281)Online publication date: 24-Mar-2022
MSU-Net: A multi-scale U-Net for retinal vessel segmentation
Authors: 
Zhengjin Shi, Tianyu Wang, Feng Xie, Zheng Huang, Xinyu Zheng, Wenjiao ZhangAuthors Info & Claims
Zhengjin Shi, Tianyu Wang, Feng Xie, Zheng Huang, Xinyu Zheng, Wenjiao ZhangAuthors Info & ClaimsPages 177 - 181
Abstract
Retinal vessel segmentation is widely used in the diagnosis of eye diseases, and the effect of segmentation plays a crucial role in whether doctors can correctly diagnose diseases. To further improve the accuracy of the automatic segmentation method, a network structure named Multi-Scale U-Net (MSU-Net) based on deep learning is proposed in this paper. The network combines Atrous Spatial Pyramid Pooling (ASPP) module to extract multi-scale information, making the U-Net more suitable for segmentation of complex and changeable vessel structures. We evaluate the network on two public databases, DRIVE and STARE. The Accuracy (ACC), Sensitivity (SEN), Specificity (SPE) and Dice coefficient on the DRIVE database are 0.9667, 0.8159, 0.9805 and 0.8059, respectively. These indicators are respectively 0.9732, 0.8272, 0.9866 and 0.8400 on the STARE database. Experiments show that the network has excellent segmentation results, and has state-of-the-art performance indicators on the STARE database, which fully proves the outstanding performance of the network.
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- MSU-Net: A multi-scale U-Net for retinal vessel segmentation
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September 2020
313 pages
ISBN:9781450388603
DOI:10.1145/3429889
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Association for Computing Machinery
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Published: 04 December 2020
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ISAIMS 2020
ISAIMS 2020: 2020 International Symposium on Artificial Intelligence in Medical Sciences
September 11 - 13, 2020
Beijing, China
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ISAIMS '20 Paper Acceptance Rate 53 of 112 submissions, 47%;
Overall Acceptance Rate 53 of 112 submissions, 47%
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View all- Deng THuang YZhang J(2022)MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel SegmentationBio-Inspired Computing: Theories and Applications10.1007/978-981-19-1253-5_20(271-281)Online publication date: 24-Mar-2022
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