Knowledge Management System of Hefei Institute of Physical Science，CAS
| MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation | |
Su, Run1,2; Zhang, Deyun3; Liu, Jinhuai1,2 ; Cheng, Chuandong4,5,6
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| 2021-02-11 | |
| Source Publication | FRONTIERS IN GENETICS
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| Corresponding Author | Liu, Jinhuai(jhliu@iim.ac.cn) |
| Abstract | Aiming at the limitation of the convolution kernel with a fixed receptive field and unknown prior to optimal network width in U-Net, multi-scale U-Net (MSU-Net) is proposed by us for medical image segmentation. First, multiple convolution sequence is used to extract more semantic features from the images. Second, the convolution kernel with different receptive fields is used to make features more diverse. The problem of unknown network width is alleviated by efficient integration of convolution kernel with different receptive fields. In addition, the multi-scale block is extended to other variants of the original U-Net to verify its universality. Five different medical image segmentation datasets are used to evaluate MSU-Net. A variety of imaging modalities are included in these datasets, such as electron microscopy, dermoscope, ultrasound, etc. Intersection over Union (IoU) of MSU-Net on each dataset are 0.771, 0.867, 0.708, 0.900, and 0.702, respectively. Experimental results show that MSU-Net achieves the best performance on different datasets. Our implementation is available at https://github.com/CN-zdy/MSU_Net.. |
| Keyword | multi-scale block U-net medical image segmentation convolution kernel receptive field |
| DOI | 10.3389/fgene.2021.639930 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[62033002] ; Science and Technology Project grant from Anhui Province[1508085QHl84] ; Science and Technology Project grant from Anhui Province[201904a07020098] ; Fundamental Research Fund for the Central Universities[WK 9110000032] |
| Funding Organization | National Natural Science Foundation of China ; Science and Technology Project grant from Anhui Province ; Fundamental Research Fund for the Central Universities |
| WOS Research Area | Genetics & Heredity |
| WOS Subject | Genetics & Heredity |
| WOS ID | WOS:000621359800001 |
| Publisher | FRONTIERS MEDIA SA |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.hfcas.ac.cn:8080/handle/334002/120162 |
| Collection | 中国科学院合肥物质科学研究院 |
| Corresponding Author | Liu, Jinhuai |
| Affiliation | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei, Peoples R China 2.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei, Peoples R China 3.Anhui Agr Univ, Sch Engn, Hefei, Peoples R China 4.Univ Sci & Technol China USTC, Affiliated Hosp 1, Dept Neurosurg, Hefei, Peoples R China 5.Univ Sci & Technol China, Div Life Sci & Med, Hefei, Peoples R China 6.Anhui Prov Key Lab Brain Funct & Brain Dis, Hefei, Peoples R China |
| Recommended Citation GB/T 7714 | Su, Run,Zhang, Deyun,Liu, Jinhuai,et al. MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation[J]. FRONTIERS IN GENETICS,2021,12. |
| APA | Su, Run,Zhang, Deyun,Liu, Jinhuai,&Cheng, Chuandong.(2021).MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation.FRONTIERS IN GENETICS,12. |
| MLA | Su, Run,et al."MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation".FRONTIERS IN GENETICS 12(2021). |
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