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• W2184003273 abstract "The early detection and accurate diagnosis of breast cancer is of utmost importance in providing effective and efficient treatment in order to increase survival rates. The multifractal theory was first introduced for signal analysis and has shown its utility in describing physiologic behaviors of bio-signals and even in detecting and predicting pathology. In this Thesis, three multifractal analysis methods have been extended to two-dimensional (2D) images and compared in the detection of microcalcifications in mammograms. One of these methods was adapted for classification of breast masses in 2D cross-sectional breast magnetic resonance (MR) images in suspicious malignant and probably benign groups. A novel multifractal analysis method using three-dimensional (3D) lacunarity is proposed for classification of breast masses in 3D volumetric MR images. The multifractal analysis revealed differences in the underlying complexity of the microcalcifications relatively to the normal tissue allowing a good accuracy of their detection in mammograms. Moreover, it provided meaningful features that allowed identifying the typically biopsy-recommended cases from 2D breast MR images. The 3D multifractal analysis method was also effective in the classification of malignant and benign lesions in 3D breast MR images. This method was more accurate in estimation of the likelihood of malignancy than the 2D method and the standard analysis of tumor enhancement kinetics. In conclusion, multifractal analysis provides useful information for computer-aided detection in mammography and for computer-aided diagnosis in 2D and 3D breast MR images and have the potential to complement the interpretation of the radiologists." @default.
• W2184003273 created "2016-06-24" @default.
• W2184003273 creator A5035437254 @default.
• W2184003273 date "2013-10-01" @default.
• W2184003273 modified "2023-09-27" @default.
• W2184003273 title "Computer-Aided Detection and Diagnosis of Breast Cancer in 2D and 3D Medical Imaging Through Multifractal Analysis" @default.
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