Toward Smooth and Noiseless Lesion Boundary Segmentation in Dermoscopy Images via Deep Neural Networks and Probabilistic Graphical Models

	Toward Smooth and Noiseless Lesion Boundary Segmentation in Dermoscopy Images via Deep Neural Networks and Probabilistic Graphical Models
	Qiu, Yuming 1,2,3; Qin, Xiaolin 1,2; Zhang, Ju 3; Zhang, Jingzhong 1,2
刊名	BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY
	2020-02-01
卷号	126 页码:80-80
ISSN号	1742-7835
WOS研究方向	Pharmacology & Pharmacy ; Toxicology
语种	英语
出版者	WILEY
WOS记录号	WOS:000509492400124
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/10413]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Chengdu Inst Comp Applicat, Chengdu, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China
推荐引用方式 GB/T 7714	Qiu, Yuming,Qin, Xiaolin,Zhang, Ju,et al. Toward Smooth and Noiseless Lesion Boundary Segmentation in Dermoscopy Images via Deep Neural Networks and Probabilistic Graphical Models[J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY,2020,126:80-80.
APA	Qiu, Yuming,Qin, Xiaolin,Zhang, Ju,&Zhang, Jingzhong.(2020).Toward Smooth and Noiseless Lesion Boundary Segmentation in Dermoscopy Images via Deep Neural Networks and Probabilistic Graphical Models.BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY,126,80-80.
MLA	Qiu, Yuming,et al."Toward Smooth and Noiseless Lesion Boundary Segmentation in Dermoscopy Images via Deep Neural Networks and Probabilistic Graphical Models".BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY 126(2020):80-80.