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Estimation of sufficient signal to noise ratio for texture analysis of magnetic resonance images., , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79622C. SPIE, (2011)Texture Based Classification and Segmentation of Tissues Using DT-CWT Feature Extraction Methods., , , , and . CBMS, page 614-619. IEEE Computer Society, (2008)The effect of region of interest size on textural parameters., , , , , and . ISPA, page 149-153. IEEE, (2015)The effect of region of interest size on textural parameters., , , , , , , and . ISPA, page 149-153. IEEE, (2015)Texture analysis of MR images of patients with Mild Traumatic Brain Injury., , , , , , , , and . BMC Medical Imaging, (2010)Texture analysis on MRI images of non-Hodgkin lymphoma., , , , , , , and . Comput. Biol. Medicine, 38 (4): 519-524 (2008)Magnetic resonance imaging based volume estimation of ovarian tumours: use of a segmentation and 3D reformation software., , , , , , and . Comput. Biol. Medicine, 30 (6): 329-340 (2000)Volumetric measurements of right cerebral hemisphere infarction: use of a semiautomatic MRI segmentation technique., , , , and . Comput. Biol. Medicine, 30 (1): 41-54 (2000)Diffusion tensor imaging correlates with lesion volume in cerebral hemisphere infarctions., , , , , and . BMC Medical Imaging, (2010)Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain., , , , , , , and . BMC Medical Imaging, (2012)