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Breast cancer is a serious potential health problem for all women. The current screening and imaging techniques such as X-ray mammography, clinical examination, ultrasound, and MRI, even combined in some way, provide only 73% accuracy in detecting breast cancer. This motivates researchers with biomedical background to investigate new techniques to advance the screening techniques aiming for early...
In the era computer and telecommunications, pathologist's still mount tissue slices on glass slides, treat them with appropriate stains and examine them through a microscope. Despite advances in staining techniques, it's a process that has changed little over the last twenty years. Interpreting what they see is a time-consuming process and requires a great deal of skill and experience. Imaging techniques...
Breast cancer is the second leading cause of cancer death after lung cancer among women. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early breast cancer detection remains unclear. The paper applies a time reversal beamforming imager for detecting and locating early stage breast cancer tumours from MRI data. In our simulations based on the finite difference,...
Registering features in multiple mammographic views is an important technique to improve breast cancer detection rate. However, nonrigid breast deformation during X-ray imaging poses a severe challenge to the conventional 2D registration methods. We present a method that utilizes a 3D model to facilitate two-view registration by predicting breast deformation. At first, a finite element model of a...
Breast cancer is the most common type of cancer in women worldwide. About ten percent of women are confronted with breast cancer in their lives. Breast cancer can be most efficiently treated if detected at an early sage. Imaging of the breast can be accomplished using several modalities such as: X-ray, MRI, CT, ultrasound, and now molecular imaging. Image registration plays a critical role in breast...
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