27 March 2009 Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images
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Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725926 (2009) https://doi.org/10.1117/12.812370
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Digital mammography images often contain noise proportional to the dose given to the patient. The signal to noise ratio is typically improved by increasing the dose as noise reduction methods tend to blur clinically important edges and details, such as fibers or calcifications. A new algorithm is presented to reduce noise while preserving features relevant in digital mammography and allowing for an overall reduction of patient dose.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark M. Roden, Lawrence W. Bassett, Daniel Valentino, "Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725926 (27 March 2009); doi: 10.1117/12.812370; https://doi.org/10.1117/12.812370
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