Document - Automatic fuzzy-neural based segmentation of microscopic cell images

2007

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Automatic fuzzy-neural based segmentation of microscopic cell images

Colantonio S., Gurevich I. B., Salvetti O.

Fuzzy Clustering Image Segmentation Cytological Images Neural Networks

In this paper, we propose a novel, completely automated method for the segmentation of lymphatic cell nuclei represented in microscopic specimen images. Actually, segmenting cell nuclei is the first, necessary step for developing an automated application for the early diagnostics of lymphatic system tumours. The proposed method follows a two-step approach to, firstly, find the nuclei and, then, to refine the segmentation by means of a neural model, able to localize the borders of each nucleus. Experimental results have shown the feasibility of the method.

Source: Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry, edited by Perner Petra, Salvetti Ovidio, pp. 115–127, 2007

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@inbook{oai:it.cnr:prodotti:43973,
	title = {Automatic fuzzy-neural based segmentation of microscopic cell images},
	author = {Colantonio S. and Gurevich I.  B. and Salvetti O.},
	doi = {10.1007/978-3-540-76300-0},
	booktitle = {Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry, edited by Perner Petra, Salvetti Ovidio, pp. 115–127, 2007},
	year = {2007}
}