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INTERPRETABLE DEEP MACHINE LEARNING FOR CLINICAL RADIOLOGY
INTERPRETABLE DEEP MACHINE LEARNING FOR CLINICAL RADIOLOGY
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机译:用于临床放射学的可理解的深层机器学习
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摘要
One aspect of the invention provides a computer-implemented method of identifying one or more clinical factors associated with an artificial intelligence prediction. The computer implemented method includes: applying a previously trained deep neural network to one or more images for a subject to produce a prediction, the previously trained deep neural network comprising a plurality of nodes; comparing outputs of the nodes to previously identified patterns of node outputs for a plurality of individual clinical factors; and identifying which of the plurality of individual clinical factors are most correlated with the outputs of the nodes.
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