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	Lung vessel segmentation based on random forests
	Zhao, Bowen; Cao, Zhulou; Wang, Sicheng
刊名	ELECTRONICS LETTERS
	2017
卷号	53期号:4页码:220-222
关键词	image segmentation lung medical image processing computerised tomography edge detection image restoration feature extraction learning (artificial intelligence) neural nets lung vessel segmentation computed tomography CT images blurred edges lung images random forest classifier sparse autoencoder features multiscale representations Gaussian pyramid sparse auto encoder convolution kernel feature extraction noise-added VESSEL12 dataset machine learning methods shallow neural network feature extraction tool
DOI	10.1049/el.2016.4438
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4596383
专题	山东大学
作者单位	Shandong Univ, Sch Math & Stat, 180 Wenhua Xilu, Weihai 264209, Peoples R China.
推荐引用方式 GB/T 7714	Zhao, Bowen,Cao, Zhulou,Wang, Sicheng. Lung vessel segmentation based on random forests[J]. ELECTRONICS LETTERS,2017,53(4):220-222.
APA	Zhao, Bowen,Cao, Zhulou,&Wang, Sicheng.(2017).Lung vessel segmentation based on random forests.ELECTRONICS LETTERS,53(4),220-222.
MLA	Zhao, Bowen,et al."Lung vessel segmentation based on random forests".ELECTRONICS LETTERS 53.4(2017):220-222.

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