Abstract
[This corrects the article DOI: 10.1371/journal.pone.0113132.].
Highlights
In the original database, there were similarities and overlapping regions between some images assigned to the training set and the test set, which raised concerns about the suitability of the methodology and the reliability of the conclusions
Details of the image files included in the original database, the image files removed and retained in the revised database, and their division into the revised training and test sets are provided in S2 File
A reanalysis of the original Fig 9, provided in S3 File, showed that compared with other methods, the combination of local binary pattern (LBP) and K-nearest neighbor (KNN) achieves the best classification performance, in line with the conclusion based on the analysis of the original database
Summary
Correction: Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images.
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