The Use of Texture Analysis in the Grading of Breast Cancer on MR Images: Preliminary Findings

Keywords

able accounting acquisition affect aided aimed aims alone angular around assisted automatically bandwidth basis benign best breast breasts brightness cancer cancers carcinoma carried cells channel characteristics classification classified coefficient coil combination common complementary complete computer confirmed considered considers consisted contrast corp correlation counting cross currently degree diagnosis differentiate differentiating differentiation drawing dynamic entropy examination excellent feature features findings flash folds formation full grade grades grading hospital identified identify incorrectly individual infiltrative injected injection invasive inverse kingdom laboratories length lesion lesions lobular make malignancy many matrix measurable medical microscopic minute minutes misclassification model models moment nearest negative orientation parallel pathology patient patients physics pixel poorly populated potentially predictive preliminary probability proposed regime regressive repetition reported reports represented respectively routine scanner sensitivity separately shot significantly simplification slice slices sparsely specificity squares stage staged statistical statistically straying studies subtracted suggesting summary table texture thereby transform uptake variable variance varying vectors version volume volumes wavelet