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	segmenting multiple overlapping nuclei in H&E stained breast cancer histopathology images based on an improved watershed
	pengfei shen; wenjian qin; jie yang; wanming hu; shifu chen; ling li; tiexiang wen; jia gu
	2015
会议名称	International Conference on Biomedical Image and Signal Processing (ICBISP) 2015
会议地点	北京
英文摘要	Accurate segmentation and visualization of cerebral vessels have important significance to the diagnosis and treatment of relevant brain diseases. However, some segmentation algorithms are only competent for the standard data. In this paper, a segmentation method based on probabilistic mixture model is proposed to solve clinical problems. Through histogram analysis of the magnetic resonance angiography (MRA) data offered by Guangzhou General Hospital of the Chinese PLA, a mixture model formed by six probabilistic distributions (one Exponential, one Rayleigh, and four Normal distributions) was built to fit the histogram curve. Least squares and expectation maximization (EM) algorithms have been used for parameters estimation. At last, the segmentation was enhanced by maximum a posteriori probability (MAP) and Markov random field (MRF) algorithm. The effectiveness of the proposed method has been validated by segmentation tests on a series of clinical MRA data with good performance.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7244]
专题	深圳先进技术研究院_医工所
作者单位	2015
推荐引用方式 GB/T 7714	pengfei shen,wenjian qin,jie yang,et al. segmenting multiple overlapping nuclei in H&E stained breast cancer histopathology images based on an improved watershed[C]. 见:International Conference on Biomedical Image and Signal Processing (ICBISP) 2015. 北京.

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