In Reply to Performance of Deep Learning in the Interpretation of Serum Protein Electrophoresis
- PMID: 36107955
- DOI: 10.1093/clinchem/hvac145
In Reply to Performance of Deep Learning in the Interpretation of Serum Protein Electrophoresis
Abstract
We thank He et al. for their comments on our article (1), which gives us the opportunity to clarify some methodological points. 1. Detection of abnormal patterns: mechanics.
© American Association for Clinical Chemistry 2022.
Comment on
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Achieving Expert-Level Interpretation of Serum Protein Electrophoresis through Deep Learning Driven by Human Reasoning.Clin Chem. 2021 Oct 1;67(10):1406-1414. doi: 10.1093/clinchem/hvab133. Clin Chem. 2021. PMID: 34491313
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Performance of Deep Learning in the Interpretation of Serum Protein Electrophoresis.Clin Chem. 2022 Oct 6;68(10):1340-1341. doi: 10.1093/clinchem/hvac144. Clin Chem. 2022. PMID: 36107973 No abstract available.