CAMCA
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The MGH/HMS Center for Advanced Medical Computing and Analysis gathered a group of passionate experts in data science, machine learning, artificial intelligence and medical image analysis.
New Publication Alert! Our latest paper, “Texture-preserving low dose CT image denoising using Pearson divergence” introduces a novel approach to enhance texture in low-dose CT images. Previous methods using MSE often had over-smoothed edges and degradation of texture in images, but our proposed Pearson divergence loss mitigates this issue, leading to improved texture preservation. Our results offer clinicians and researchers high-quality CT images crucial for accurate diagnoses and AI model development.
Read more about our findings here:
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100 Cambridge Street
Boston, MA
02114