segmenting multiple overlapping nuclei in H&E stained breast cancer histopathology images based on an improved watershed
文献类型：会议论文
| 作者 | pengfei shen; wenjian qin; jie yang; wanming hu; shifu chen; ling li; tiexiang wen; jia gu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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