Colantonio S., Gurevich I. B., Salvetti O. Automatic fuzzy-neural based segmentation of microscopic cell images. In: Workshop on Mass Data Analysis of Signals and Images, MDA 2006 (Leipzig, Germany, July 13 2006). Proceedings, pp. 34 - 45. Petra Perner (ed.). IBaI Institute, 2006. |
Abstract (English) |
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. | |
Subject | Image Segmentation Cytological Specimen Fuzzy Clustering Neural Classification I.4.6 Segmentation I.2.10 Vision and Scene Understanding I.5.3 Clustering |
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