Modern Computational Intelligence Methods for the Interpretation of Medical Images

Detalles Bibliográficos
Autor principal: Tadeusiewicz, Ryszard. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 84
Materias:
Acceso en línea:https://doi.org/10.1007/978-3-540-75402-2
LEADER 01817nam a22003495i 4500
001 978-3-540-75402-2
005 20191022142044.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 |a 9783540754022 
024 7 |a 10.1007/978-3-540-75402-2  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
100 1 |a Tadeusiewicz, Ryszard.  |e author. 
245 1 0 |a Modern Computational Intelligence Methods for the Interpretation of Medical Images  |c by Ryszard Tadeusiewicz. 
250 |a 1st ed. 2008. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2008. 
300 |a VII, 209 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Studies in Computational Intelligence,  |v 84 
505 0 |a Sources of medical images and their general characteristics -- Compressing medical images and storing them in medical databases -- Preprocessing medical images and their overall enhancement -- Algorithms and methods for the goal-oriented processing of medical images -- Pattern recognition, clustering and classification applied to selected medical images -- Automatic understanding of medical images as a new paradigm for advanced computer aiding of medical investigations -- Image understanding methods applied to medical diagnostics. 
650 0 |a Internal medicine. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Artificial intelligence. 
650 1 4 |a Internal Medicine. 
650 2 4 |a Mathematical and Computational Engineering. 
650 2 4 |a Artificial Intelligence. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-3-540-75402-2