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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study

Journal of Magnetic Resonance Imaging Oct 19, 2017

Vidic I, et al. - The classification of malignant and benign tumors and breast cancer subtypes utilizing support vector machine (SVM) is assessed in this study. These outcomes recommend that SVM, utilizing highlights from a combination of diffusion models, improves prediction accuracy for differentiation of benign versus malignant breast tumors, and may further assist in subtyping of breast cancer.
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