Due to a production error, two formulas were incorrectly published in the Materials and Methods section, subsection Step 2: Model Selection and Supervised Training of the Classifier Algorithm. The correct formulas are provided below.
The publisher apologizes for this mistake. The original article has been updated.
Summary
Keywords
dot-blot ELISA, machine learning, image analysis, serological assays, sensitivity and specificity, ROC curve, diagnostic performance
Citation
Frontiers Production Office (2021) Erratum: Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples. Front. Microbiol. 12:688832. doi: 10.3389/fmicb.2021.688832
Received
31 March 2021
Accepted
31 March 2021
Published
27 April 2021
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2021
Updates
Copyright
© 2021 Frontiers Production Office.
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This article was submitted to Microbial Immunology, a section of the journal Frontiers in Microbiology
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