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Proceedings Paper

Intelligent computer-aided diagnosis system for breast MRI combining kinetic and morphological aspects
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Paper Abstract

An intelligent medical systems based on a radial basis neural network is applied to the automatic classification of suspicious lesions in breast MRI and compared with two standard mammographic reading methods. Such systems represent an important component of future sophisticated computer-aided diagnosis systems and enable the extraction of spatial and temporal features of dynamic MRI data stemming from patients with confirmed lesion diagnosis. Intelligent medical systems combining both kinetics and lesions' morphology are expected to have substantial implications in healthcare politics by contributing to the diagnosis of indeterminate breast lesions by non-invasive imaging.

Paper Details

Date Published: 15 April 2008
PDF: 8 pages
Proc. SPIE 6961, Intelligent Computing: Theory and Applications VI, 69610K (15 April 2008); doi: 10.1117/12.777241
Show Author Affiliations
Axel Wismüller, Univ. of Rochester (United States)
Anke Meyer-Bäse, Florida State Univ. (United States)
Oliver Lange, Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 6961:
Intelligent Computing: Theory and Applications VI
Kevin L. Priddy; Emre Ertin, Editor(s)

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