Automatic fuzzy-neural based segmentation of microscopic cell images
Colantonio S., Gurevich I. B., Salvetti O.
I.4.6 Segmentation Image Segmentation
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 develop-ing an automated application for the early diagnostics of lymphatic system tu-mors. The proposed method follows a two-step approach to, firstly, find the nu-clei 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 fea-sibility of the method.
Source: Workshop on Mass Data Analysis of Signals and Images, MDA 2006, pp. 34–45, Leipzig, Germany, 13/06/2006
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@inproceedings{oai:it.cnr:prodotti:91307,
title = {Automatic fuzzy-neural based segmentation of microscopic cell images},
author = {Colantonio S. and Gurevich I. B. and Salvetti O.},
booktitle = {Workshop on Mass Data Analysis of Signals and Images, MDA 2006, pp. 34–45, Leipzig, Germany, 13/06/2006},
year = {2006}
}
0000-0003-2022-0804