A two-step approach for automatic microscopic image segmentation using fuzzy clustering and neural discrimination

@article{Colantonio2007ATA,
  title={A two-step approach for automatic microscopic image segmentation using fuzzy clustering and neural discrimination},
  author={Sara Colantonio and Ovidio Salvetti and Igor B. Gurevich},
  journal={Pattern Recognition and Image Analysis},
  year={2007},
  volume={17},
  pages={428-437}
}
The early diagnosis of lymphatic system tumors heavily relies on the computerized morphological analysis of blood cells in microscopic specimen images. Automating this analysis necessarily requires an accurate segmentation of the cells themselves. In this paper, we propose a robust method for the automatic segmentation of microscopic images. Cell segmentation is achieved following a coarse-to-fine approach, which primarily consists in the rough identification of the blood cell and, then, in the… CONTINUE READING

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