Automatic Segmentation of Cell Nuclei in 2d Using Dynamic Programming
نویسندگان
چکیده
Automatic segmentation of cell nuclei is an essential task in a variety of biomedical applications. However, performance is variable, being typically around 95% correct detection of nuclei depending on the degree of clustering. Furthermore, work to assess and optimize the segmentation accuracy of each nucleus is in its infancy. In this study we developed an algorithm intended for segmentation of clustered nuclei. It integrates gradient magnitude and direction information to achieve robust detection of nuclei and utilizes dynamic programming for highly accurate delineation of detected nuclei. This is the first time that dynamic programming has been used for automatic segmentation of cell nuclei. We achieve precise segmentation of 97% of the detected nuclei.
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