Adaptive segmentation of digital mammograms through reinforcement learning

	Adaptive segmentation of digital mammograms through reinforcement learning
其他题名	论文其他题名
	Liu X.Y.; Fang X.X.; Huang L.Q.
	2005
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	13 期号:5 页码:575-583
摘要	An approach based on reinforcement learning for the automated segmentation is presented. The approach consists of two modules: segmentation module and learning module. The segmentation module uses the region-growing algorithm combined with the smooth filtering and the morphological filtering to segment mammograms. The learning module uses the segmentation output as the feedback to learn to select the optimal parameter settings of the segmentation algorithm according to the image properties using reinforcement learning techniques. The approach can adapt itself to various kinds of mammograms through training and therefore obviates the tedious and error-prone tuning of parameter settings manually. Quantitative rest results show that the approach is accurate for several kinds of mammograms. Compared to previously proposed approaches, the approach is more adaptable to different mammograms.
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/24550
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Liu X.Y.,Fang X.X.,Huang L.Q.. Adaptive segmentation of digital mammograms through reinforcement learning[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2005,13(5):575-583.
APA	Liu X.Y.,Fang X.X.,&Huang L.Q..(2005).Adaptive segmentation of digital mammograms through reinforcement learning.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,13(5),575-583.
MLA	Liu X.Y.,et al."Adaptive segmentation of digital mammograms through reinforcement learning".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 13.5(2005):575-583.

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