PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
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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