This contribution deals with an unsupervised system to process digital photomicrographs in order to locate and analyze islets of Langherans in human pancreases. The experiment has been conducted on real data and, though we are still going to complete the evaluation of the whole method, we expect to define a set of proper features (e.g. area, perimeter, fractal dimension, shape complexity, texture and entropy) useful for a fast and reliable counting of healthy cells. In particular, this research aims to measure the advisability of a possible implantation in patients affected by type I diabetes mellitus

BERTUZZI, F., GRIMAUDO, C., TEGOLO, D., VALENTI, C. (2008). Image segmentation to evaluate islets of langherans. In P. Encarnacao, A. Veloso (a cura di), BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing (pp. 72-76).

Image segmentation to evaluate islets of langherans

TEGOLO, Domenico;VALENTI, Cesare Fabio
2008-01-01

Abstract

This contribution deals with an unsupervised system to process digital photomicrographs in order to locate and analyze islets of Langherans in human pancreases. The experiment has been conducted on real data and, though we are still going to complete the evaluation of the whole method, we expect to define a set of proper features (e.g. area, perimeter, fractal dimension, shape complexity, texture and entropy) useful for a fast and reliable counting of healthy cells. In particular, this research aims to measure the advisability of a possible implantation in patients affected by type I diabetes mellitus
Settore INF/01 - Informatica
978-989-8111-10-7
BERTUZZI, F., GRIMAUDO, C., TEGOLO, D., VALENTI, C. (2008). Image segmentation to evaluate islets of langherans. In P. Encarnacao, A. Veloso (a cura di), BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing (pp. 72-76).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/5890
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