The study focuses on robust quantification of pulmonary emphysema using deep learning techniques. It introduces a novel domain attention block to enhance results by incorporating scanner priors. The research aims to automate and standardize the process for efficient large-scale studies like the MESA Lung Study. By comparing different models, the study demonstrates improved accuracy and generalization with the proposed approach.
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by Xuzhe Zhang,... alle arxiv.org 02-29-2024
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