The current medical imaging devices allow to obtain high resolution digital images with a complex informative content expressed by the textural skin that covers organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects by which to support heterogeneous activities within the medical field. This paper describes our developed framework based on the texture analysis by which to mathematically model every object contained in the layout of the total body NMR images. By every specific model, the framework automatically also defines a connected application which supports, on the related object, different fixed targets, such as: segmentation, mass detection, reconstruction, and so on.

A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction / Avola, Danilo; Cinque, Luigi; Marco Di, Girolamo. - 6979:(2011), pp. 414-423. (Intervento presentato al convegno International Conference on Image Analysis and Processing tenutosi a Ravenna, Italy) [10.1007/978-3-642-24088-1_43].

A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction

AVOLA, DANILO
Primo
;
CINQUE, LUIGI;
2011

Abstract

The current medical imaging devices allow to obtain high resolution digital images with a complex informative content expressed by the textural skin that covers organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects by which to support heterogeneous activities within the medical field. This paper describes our developed framework based on the texture analysis by which to mathematically model every object contained in the layout of the total body NMR images. By every specific model, the framework automatically also defines a connected application which supports, on the related object, different fixed targets, such as: segmentation, mass detection, reconstruction, and so on.
2011
International Conference on Image Analysis and Processing
Framework; CAD; medical image; texture analysis; pattern recognition; feature extraction; segmentation; classification
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction / Avola, Danilo; Cinque, Luigi; Marco Di, Girolamo. - 6979:(2011), pp. 414-423. (Intervento presentato al convegno International Conference on Image Analysis and Processing tenutosi a Ravenna, Italy) [10.1007/978-3-642-24088-1_43].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/770185
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