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- W2280521780 abstract "This paper evaluated the contribution of both magnetic resonance mammography (MRM) image and non-image (NI) features (breast cancer risk factors) to benign ∕ malignant diagnostic accuracy using a new data set. This paper focus was using a new Kernealized-Partial Least Squares (K-PLS) and EP-SVM paradigms for this evaluation. An important initial finding is that (only) the non-imag , non-linear mapping region of the feature to diagnostic solution space contains significant diagnostic information, with a resultant overall Az of 0.77. The MRI image features of mass size, mass shape and mass margin yielded an Az of 0.96, which is..." @default.
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- W2280521780 date "2007-01-01" @default.
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- W2280521780 title "Advancements in Automated Diagnostic Mammography Using K-PLS Non-Linear Mappings" @default.
- W2280521780 doi "https://doi.org/10.1115/1.802655.paper12" @default.
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