Zhou H, Mao K (2005) Adaptive successive erosion-based cell image segmentation for p53 immuno-histochemistry in bladder inverted papilloma.
This will, in turn, be effective in improving the segmentation performance of a marker-controlled watershed algorithm.Ĭhen X, Zhou X, Wong ST (2006) Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy. The experimental results demonstrate that this approach, which uses the proposed definition of smart markers, is quite effective in identifying better markers compared to its counterparts. We evaluate our approach on a total of 1,954 cells. The proposed approach relies on using domain-specific knowledge, in the form of visual characteristics of the cells, to define the markers. This approach introduces a new set of "smart markers" for a marker-controlled watershed algorithm, for which the identification of its markers is critical. In this work, we propose a new approach for the effective segmentation of live cells from phase contrast microscopy. The approaches that can incorporate this knowledge into their segmentation algorithms have potential to greatly improve segmentation results. On the other hand, similar to other image segmentation problems, cell segmentation is an ill-posed problem that typically necessitates the use of domain-specific knowledge to obtain successful segmentations even by human subjects. In these systems, the first step is usually cell segmentation that greatly affects the success of the subsequent system steps. Automated cell imaging systems facilitate fast and reliable analysis of biological events at the cellular level.
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