Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems

T. Twellmann, O. Lange, T.W. Nattkemper, A. Meyer-Bäse

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationIntelligent Computing: Theory and Applications IV, 2006, Orlando
EditorsK.L. Priddy, E. Ertin
Place of PublicationBellingham
PublisherSPIE
Pages38-49
DOIs
Publication statusPublished - 2006

Publication series

NameProceedings of SPIE
Volume6629
ISSN (Print)0277-786X

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Breast
Politics
Delivery of Health Care

Cite this

Twellmann, T., Lange, O., Nattkemper, T. W., & Meyer-Bäse, A. (2006). Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems. In K. L. Priddy, & E. Ertin (Eds.), Intelligent Computing: Theory and Applications IV, 2006, Orlando (pp. 38-49). (Proceedings of SPIE; Vol. 6629). Bellingham: SPIE. https://doi.org/10.1117/12.668674
Twellmann, T. ; Lange, O. ; Nattkemper, T.W. ; Meyer-Bäse, A. / Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems. Intelligent Computing: Theory and Applications IV, 2006, Orlando. editor / K.L. Priddy ; E. Ertin. Bellingham : SPIE, 2006. pp. 38-49 (Proceedings of SPIE).
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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.",
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Twellmann, T, Lange, O, Nattkemper, TW & Meyer-Bäse, A 2006, Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems. in KL Priddy & E Ertin (eds), Intelligent Computing: Theory and Applications IV, 2006, Orlando. Proceedings of SPIE, vol. 6629, SPIE, Bellingham, pp. 38-49. https://doi.org/10.1117/12.668674

Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems. / Twellmann, T.; Lange, O.; Nattkemper, T.W.; Meyer-Bäse, A.

Intelligent Computing: Theory and Applications IV, 2006, Orlando. ed. / K.L. Priddy; E. Ertin. Bellingham : SPIE, 2006. p. 38-49 (Proceedings of SPIE; Vol. 6629).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - 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.

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Twellmann T, Lange O, Nattkemper TW, Meyer-Bäse A. Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Neural Systems. In Priddy KL, Ertin E, editors, Intelligent Computing: Theory and Applications IV, 2006, Orlando. Bellingham: SPIE. 2006. p. 38-49. (Proceedings of SPIE). https://doi.org/10.1117/12.668674