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	A novel segmentation framework using sparse random feature in histology images of colon cancer
	Zhang, Kun[1]; Zhou, Huiyu[2]; Chen, Li[3]; Fei, Minrui[4]; Wu, Jianguo[5]; Zhang, Peijian[6]
	2017
会议名称	International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017
会议日期	2017-09-22
页码	173-180
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2182280
专题	上海大学
作者单位	[1]School of Electrical Engineering, Nantong University, Nantong, China [2]School of Electronics, Electrical Engineering and Computer Science, Queen's University, Belfast, United Kingdom [3]Department of Pathology, Medical College, Nantong University, Nantong, China [4]School of Mechatronic Engineering and Automaton, Shanghai University, Shanghai, China[5]School of Electrical Engineering, Nantong University, Nantong, China [6]School of Electrical Engineering, Nantong University, Nantong, China
推荐引用方式 GB/T 7714	Zhang, Kun[1],Zhou, Huiyu[2],Chen, Li[3],et al. A novel segmentation framework using sparse random feature in histology images of colon cancer[C]. 见:International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017. 2017-09-22.

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