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Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach.

, , , , , and . Pattern Recognit., (2017)

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Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography., , , , , and . Medical Biol. Eng. Comput., 58 (1): 187-209 (2020)Interscale wavelet maximum - a fine to coarse algorithm for wavelet analysis of the EMG interference pattern., , and . IEEE Trans. Biomed. Eng., 49 (4): 337-344 (2002)Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis., , , , , , and . Biomed. Signal Process. Control., (2018)Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures., , , , , , and . Comput. Medical Imaging Graph., 34 (6): 487-493 (2010)Breast Cancer Diagnosis: Analyzing Texture of Tissue Surrounding Microcalcifications., , , , , , , and . IEEE Trans. Inf. Technol. Biomed., 12 (6): 731-738 (2008)Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach., , , , , and . Pattern Recognit., (2017)Microcalcification Features Extracted from Principal Component Analysis in the Wavelet Domain., , , , and . AIAI, volume 204 of IFIP, page 730-736. Springer, (2006)Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms., , , , , , and . J. Digit. Imaging, 26 (3): 427-439 (2013)Size-adapted segmentation of individual mammographic microcalcifications., , , , , , and . BIBE, page 1-5. IEEE, (2008)Capturing Microcalcification Patterns in Dense Parenchyma with Wavelet-Based Eigenimages., , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 541-548. Springer, (2006)