研究目的
To introduce a convex model-based approach for the segmentation of cell nuclei, which exploits both shape and intensity information, and to evaluate its performance using fluorescence microscopy images of two different cell types.
研究成果
The presented convex model-based approach for cell nuclei segmentation, which directly fits the model to image intensities using a sequence of convex programs, outperforms or is competitive with previous methods. The method is robust and efficient, as demonstrated by quantitative comparisons.
研究不足
The approach may be limited by the quality of the fluorescence microscopy images, such as the presence of strong image noise and low contrast. Additionally, the method's performance is dependent on the accurate selection of image regions for model fitting.
