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Encephalic NMR Tumor Diversification by Textural Interpretation.

Authors :
Avola, Danilo
Cinque, Luigi
Source :
Image Analysis & Processing - Iciap 2009; 2009, p394-403, 10p
Publication Year :
2009

Abstract

The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the craniopharyngioma pathology distinguishing it from other kinds of primary cerebral tumors. By this characterization a prototype has been developed, which has primarily allowed to identify potential abnormal masses inside the cerebral tissue and subsequently to possibly classify them as craniopharyngiomas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642041457
Database :
Complementary Index
Journal :
Image Analysis & Processing - Iciap 2009
Publication Type :
Book
Accession number :
76842397
Full Text :
https://doi.org/10.1007/978-3-642-04146-4_43