Visualization of suspicious lesions in breast MRI based on intelligent neural systems

Thorsten Twellmann; Oliver Lange; Tim Wilhelm Nattkemper; Anke Meyer-Bäse

doi:10.1117/12.668674

9 May 2006 Visualization of suspicious lesions in breast MRI based on intelligent neural systems

Thorsten Twellmann, Oliver Lange, Tim Wilhelm Nattkemper, Anke Meyer-Bäse

Proceedings Volume 6229, Intelligent Computing: Theory and Applications IV; 62290K (2006) https://doi.org/10.1117/12.668674
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Intelligent medical systems based on supervised and unsupervised artificial neural networks are applied to the automatic visualization and classification of suspicious lesions in breast MRI. These 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. By taking into account the heterogenity of the cancerous tissue, these techniques reveal the malignant, benign and normal kinetic signals and and provide a regional subclassification of pathological breast tissue. Intelligent medical systems are expected to have substantial implications in healthcare politics by contributing to the diagnosis of indeterminate breast lesions by non-invasive imaging.

Citation Download Citation

Thorsten Twellmann, Oliver Lange, Tim Wilhelm Nattkemper, and Anke Meyer-Bäse "Visualization of suspicious lesions in breast MRI based on intelligent neural systems", Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290K (9 May 2006); https://doi.org/10.1117/12.668674

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