南方科技大学知识苑(SUSTech KC): Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation

题名	Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation
作者	Chen, Yuhan1 ; Li, Qingfeng 2; Lu, Dongxin 2; Ke, Wende3 ; Cui, Wenming 4; Kou, Lei 5
通讯作者	Lu, Dongxin
发表日期	2024
DOI	10.1504/IJBIC.2024.137916
发表期刊	INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 影响因子和分区
ISSN	1758-0366
EISSN	1758-0374
卷号	23 期号:3
摘要	In traditional Chinese medicine diagnosis, experienced Chinese medicine doctors can understand the potential symptoms of patients by diagnosing their tongue images. With the continuous development of computer science and artificial intelligence, neural networks are gradually being used in the image processing and feature extraction. The intelligent tongue diagnosis combining traditional Chinese medicine with neural networks was constructed to automatically improve the diagnose accuracy. The dataset contains 556 no-background tongue images. The deep convolutional network with double spatial pyramid (Deep-DSP) for tongue segmentation was constructed, in which the spatial pyramid block was embedded into the encoder-decoder architecture. Noteworthy, a novel double spatial pyramid architecture was applied for multiple encoding states feature learning. Experiments showed that the deep-DSP performed more excellently in tongue segmentation and than that of state-of-the-art methods according to the accuracy, precision, recall, harmonic measure and specificity.
关键词	convolutional neural network CNN tongue dataset tongue segmentation
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	第一
资助项目	Public Welfare Technology Research Project of Zhejiang Provinces Science Foundation in China. The effect model Construction and 3D visualization of auricular point pivot regulation of brain neural[LGF20F020009] ; Key RD Program of Zhejiang Province. Research on intelligent service technology and equipment of health and elderly care-support the research and application development of medical nursing care robot and elderly care service system of internet hospitals[2020C03107]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:001198771800005
出版者	INDERSCIENCE ENTERPRISES LTD
来源库	Web of Science
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/788696
专题	工学院_系统设计与智能制造学院工学院_机械与能源工程系
作者单位	1.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen, Peoples R China 2.Hangzhou Normal Univ, Hlth Management Syst Engn Ctr, Sch Publ Hlth, Hangzhou, Peoples R China 3.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China 4.China United Test & Evaluat Qingdao Co Ltd, Qingdao, Peoples R China 5.Qilu Univ Technol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao, Peoples R China
第一作者单位	系统设计与智能制造学院
第一作者的第一单位	系统设计与智能制造学院
推荐引用方式 GB/T 7714	Chen, Yuhan,Li, Qingfeng,Lu, Dongxin,et al. Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation[J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,2024,23(3).
APA	Chen, Yuhan,Li, Qingfeng,Lu, Dongxin,Ke, Wende,Cui, Wenming,&Kou, Lei.(2024).Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation.INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,23(3).
MLA	Chen, Yuhan,et al."Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation".INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 23.3(2024).