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Why Automatic Understanding?

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Beliczynski, Bartlomiej
Dzielinski, Andrzej
Iwanowski, Marcin
Ribeiro, Bernardete
Tadeusiewicz, Ryszard
Source :
Adaptive & Natural Computing Algorithms (9783540715900); 2007, p477-491, 15p
Publication Year :
2007

Abstract

In the paper a new way of intelligent medical pattern analysis directed for automatic semantic categorization and merit content understanding will be presented. Such an understanding will be based on the linguistic mechanisms of pattern interpretation and categorisation and is aimed at facilitation of in-depth analysis of the meaning for some classes of medical patterns, especially in the form of planar images or spatial reconstructions of selected organs. The approach presented in this paper will show the great possibilities of automatic lesion detection in the analysed structures using the grammar approach to the interpretation and classification tasks, based on cognitive resonance processes. Cognitive methods imitate the psychological and neurophysiological processes of understanding the analysed patterns or cases, as they take place in the brain of a qualified professional. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540715900
Database :
Complementary Index
Journal :
Adaptive & Natural Computing Algorithms (9783540715900)
Publication Type :
Book
Accession number :
33109929
Full Text :
https://doi.org/10.1007/978-3-540-71629-7_54