Understanding CNN based anthropomorphic model observer using classification images
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Understanding CNN based anthropomorphic model observer using classification images
It is widely accepted that medical imaging reconstruction strategies should be optimized by maximizing the chance of a radiologist making a correct diagnostic. This implies organizing costly sessions with doctors to evaluate the images and provide feedback. Model Observers (MO) are algorithms designed to act as human surrogates in evaluating ...
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