Real-time semantic segmentation of microvascular decompression images based on encoder-decoder structure

doi:10.37188/CO.2022-0120

CIOMP OpenIR

	Real-time semantic segmentation of microvascular decompression images based on encoder-decoder structure
	R.-F. Bai; S. Jiang; H.-J. Sun and X.-R. Liu
	2022
发表期刊	Chinese Optics
ISSN	20971842
卷号	15 期号:5 页码:1055-1065
摘要	Aiming at the problems of large parameters and low semantic segmentation accuracy of real-time semantic segmentation networks for true-color microvascular decompression (MVD) images. This paper proposes a U-shaped lightweight fast semantic segmentation network U-MVDNet (U-Shaped Microvascular Decompression Network) for MVD scenarioswhich consists of encoder-decoder structure. A Light Asymmetric Bottleneck Module (LABM) is designed in the encoder to encode context features. Feature Fusion Module (FFM) is introduced in the decoder to effectively combine high-level semantic features and underlying spatial details. Experimental results show that for the MVD test set, U-MVDNet achieves 0.66 M parameters, 76.29% mIoU (mean Intersection-over-Union), and 140 frame/s speed on NVIDIA GTX 2080Ti. And when input image size is 640 480, the real-time (24 frame/s) semantic segmentation is realized on NVIDIA Jetson AGX Xavier embedded development board. The proposed network has no pretrained model, fewer parameters, and fast inference speed. The semantic segmentation performance is superior to other comparison methods, and a good trade-off between segmentation accuracy and speed is achieved. FurthermoreU-MVD-Net can also be easily developed and applied on embedded platform with superior performance and easy deployment. 2022 Editorial Office of Chinese Optics. All rights reserved.
DOI	10.37188/CO.2022-0120
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收录类别	ei
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文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67020
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	R.-F. Bai,S. Jiang,H.-J. Sun and X.-R. Liu. Real-time semantic segmentation of microvascular decompression images based on encoder-decoder structure[J]. Chinese Optics,2022,15(5):1055-1065.
APA	R.-F. Bai,S. Jiang,&H.-J. Sun and X.-R. Liu.(2022).Real-time semantic segmentation of microvascular decompression images based on encoder-decoder structure.Chinese Optics,15(5),1055-1065.
MLA	R.-F. Bai,et al."Real-time semantic segmentation of microvascular decompression images based on encoder-decoder structure".Chinese Optics 15.5(2022):1055-1065.

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