Deep neural network-based semantic segmentation of microvascular decompression images

doi:10.3390/s21041167

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Deep neural network-based semantic segmentation of microvascular decompression images
	R. Bai; S. Jiang; H. Sun; Y. Yang and G. Li
刊名	Sensors (Switzerland)
	2021
卷号	21 期号:4 页码:1-16
ISSN号	14248220
DOI	10.3390/s21041167
英文摘要	Image semantic segmentation has been applied more and more widely in the fields of satellite remote sensing, medical treatment, intelligent transportation, and virtual reality. However, in the medical field, the study of cerebral vessel and cranial nerve segmentation based on true-color medical images is in urgent need and has good research and development prospects. We have extended the current state-of-the-art semantic-segmentation network DeepLabv3+ and used it as the basic framework. First, the feature distillation block (FDB) was introduced into the encoder structure to refine the extracted features. In addition, the atrous spatial pyramid pooling (ASPP) module was added to the decoder structure to enhance the retention of feature and boundary information. The proposed model was trained by fine tuning and optimizing the relevant parameters. Experimental results show that the encoder structure has better performance in feature refinement processing, improving target boundary segmentation precision, and retaining more feature information. Our method has a segmentation accuracy of 75.73%, which is 3% better than DeepLabv3+. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/65130]
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. Bai,S. Jiang,H. Sun,et al. Deep neural network-based semantic segmentation of microvascular decompression images[J]. Sensors (Switzerland),2021,21(4):1-16.
APA	R. Bai,S. Jiang,H. Sun,&Y. Yang and G. Li.(2021).Deep neural network-based semantic segmentation of microvascular decompression images.Sensors (Switzerland),21(4),1-16.
MLA	R. Bai,et al."Deep neural network-based semantic segmentation of microvascular decompression images".Sensors (Switzerland) 21.4(2021):1-16.