The Use of Texture Analysis in Breast Magnetic Resonance Imaging: Differentiation of Ductal and Lobular Carcinoma

Keywords

able accuracy acquisition adequately aimed aims almost appeared assisted automatically available axially basis becoming best better breast breasts brightness cancer cancers carcinoma carried cells central channel classification coefficient coil combination common complementary consider considered considering consist consisted contrast contribution counting cross describing determine diagnosis differentiate differentiating differentiation diffusely disorder distributions dominated dominating drawn dynamic efficient either entropy error examination expected feature features findings fundamentally general generally growing homogeneity hospital identified identify improved incorrectly individual infer infiltrative injected invade invasive inverse irregular kingdom laboratories length lesion lesions lobular malignancy malignant many matrix measurable measure medical minute minutes misclassification misclassified model models moment nearest negative nests particular pathology patients pattern percentage perfect physics pixel post potentially prior regime regressive relatively reliably reported represented representing sample selected sensitivity shot slices solid specificity statistical statistically statistics straying student subtracted successfully table tend texture tissue type types uniformity uptake variance vectors version volume volumes wavelet whether