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 ...
Feb 15, 2021
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