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Proceedings Paper

Versatile learning by sample strategy to perform statistical pattern classification in biomedical images
Author(s): Bernard Fertil; Djamel Brahmi; Nathalie Cassoux; Camille Serruys; Alain Giron
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Paper Abstract

In this paper, the architecture of an all-round pattern recognition system is described together with some of the results obtained when dealing with the characterization of infected areas in retinal angiograms. Several tricky aspects of the implementation are discussed. In particular, special attention is given to the feature-extraction scheme and the learning data base pertinency.

Paper Details

Date Published: 4 April 2001
PDF: 8 pages
Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); doi: 10.1117/12.420927
Show Author Affiliations
Bernard Fertil, INSERM (France)
Djamel Brahmi, INSERM (France)
Nathalie Cassoux, INSERM (France)
Camille Serruys, INSERM (France)
Alain Giron, INSERM (France)

Published in SPIE Proceedings Vol. 4305:
Applications of Artificial Neural Networks in Image Processing VI
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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