A multiparametric computer-aided diagnosis scheme that combines information from T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2-weighted MRI was investigated using a database of 110 malignant and 86 benign breast lesions. Automatic lesion segmentation was performed, and three categories of l
β¦ LIBER β¦
Feature extraction and classification of dynamic contrast-enhanced T2*-weighted breast image data
β Scribed by Torheim, G.; Godtliebsen, F.; Axelson, D.; Kvistad, K.A.; Haraldseth, A.; Rinck, P.A.
- Book ID
- 120617645
- Publisher
- IEEE
- Year
- 2001
- Tongue
- English
- Weight
- 136 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0278-0062
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## Abstract ## Purpose To evaluate the diagnostic accuracy of a combination of dynamic contrastβenhanced MR imaging (DCEβMRI) and diffusionβweighted MR imaging (DWI) in characterization of enhanced mass on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.
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