基于颜色分解的神经胶质瘤组织病理图像的细胞核分割

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Pub Date : 2015-11-09 DOI:10.1109/BIBM.2015.7359944

V. B. Surya Prasath, Kiichi Fukuma, B. Aronow, H. Kawanaka

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引用次数: 10

摘要

本工作讨论了基于颜色分解的活性轮廓分割胶质瘤组织病理学细胞核的性能。通过将颜色分解得到的细胞核染色信息与快速变分活动轮廓相结合，实现了组织病理图像中细胞核的无监督分割。实验结果表明，与现有技术相比，该方法具有良好的应用前景。

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Cell nuclei segmentation in glioma histopathology images with color decomposition based active contours

This work discusses the performance of a color decomposition based active contours for segmenting cell nuclei from glioma histopathology. By combining a nuclear staining information obtained from color decomposition with fast variational active contours we obtain unsupervised segmentation of nuclei in histopathological images. Experimental results show promise when compared with different state of the art techniques.

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来源期刊

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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