Real-time tissue elastography combined with BIRADS-US classification system for improving breast lesion evaluation
نویسندگان
چکیده
منابع مشابه
Automatic Breast Tissue Classification Based on BIRADS Categories
Introduction Breast cancer continues to be an important health problem. Early detection is needed to improve prognosis and significantly reduce women mortality. Computer-Aided Diagnosis systems (CAD) can help radiologist to improve their ability to detect and classify breast lesions. However, automated interpretation of mammogram lesions still remains very difficult. Some of the reasons are the...
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Liver fibrosis develops as a sequel of chronic liver injury of various etiologies, including vi‐ ral infection, immunological reaction, and toxic and metabolic insults, and is characterized by the accumulation of extracellular matrix(ECM) components produced by fibroblast-like cells including activated stellate cells and myofibroblasts in the hepatic parenchyma. Hepat‐ ic fibrosis progresses to...
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Tables show the results of the classifiers for the SFM and the FFDM datasets using a 10-fold crossvalidation and the complete dataset, with 20 features selected by the inter/intra cluster criteria and with 20 features of the PCA. Noelia Vállez1,2, Gloria Bueno1, Oscar Déniz-Suárez1, José A. Seoane2, Julián Dorado2, and Alejandro Pazos2 1 VISILAB, E.T.S.I.I, Universidad de Castilla-La Mancha, Sp...
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ژورنال
عنوان ژورنال: The Egyptian Journal of Radiology and Nuclear Medicine
سال: 2014
ISSN: 0378-603X
DOI: 10.1016/j.ejrnm.2014.05.007