Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI

An application of an unsupervised neural network-based computer-aided diagnosis (CAD) system is reported for the detection and characterization of small indeterminate breast lesions, average size 1.1 mm, in dynamic contrast-enhanced MRI. This system enables the extraction of spatial and temporal fea...

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Detalles Bibliográficos
Autores principales: Meyer-Baese, A., Schlossbauer, T., Lange, O., Wismueller, A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2850138/
https://www.ncbi.nlm.nih.gov/pubmed/20379361
http://dx.doi.org/10.1155/2009/326924

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2850138/
https://www.ncbi.nlm.nih.gov/pubmed/20379361
http://dx.doi.org/10.1155/2009/326924

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