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PSILHOUETTE: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver Ct Image Segmentation

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P-00A-0PY

Author(s)

Ali, AR

Couceiro, MS

Hassenian, AE

Editor(es)

Hassanien, AE; Tolba, MF; Azar, AT

Tipo de Documento

Proceedings Paper

Year published

2014

Publicado

in ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS, AMLTA 2014 in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 488, Páginas: 331-343 (13)

Conference

2Nd International Conference on Advanced Machine Learning Technologies and Applications (Amlta), Date: NOV 28-30, 2014, Location: Cairo, EGYPT, Patrocinadores: Scientific Research Group in Egypt (SRGE)

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Publication Identifiers

DOI: 10.1007/978-3-319-13461-1_32

SCOPUS: 2-s2.0-84916209591

Wos: WOS:000357793100032

Source Identifiers

ISSN: 1865-0929

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PSILHOUETTE: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver Ct Image Segmentation

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PSILHOUETTE: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver Ct Image Segmentation

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