In the published article, there was an error in Figure 1, Figure 2, Figure 6, Table 1, Table 3, Table 4, Table 5, Table 6, Table 7, Algorithm 1 and Algorithm 2. There was an incorrect use of the index “nv”, “mel”, “bcc”, “akiec”, “vasc” and “df” in the original article. The correct index is shown in the “Index mapping” table. “Index” is the index used by the model, “Original index” is the index of published papers, and “Correct index” is the correct index.
| Index | Original index | Correct index |
|---|---|---|
| 0 | nv | akiec |
| 1 | mel | bcc |
| 2 | bkl | bkl |
| 3 | bcc | df |
| 4 | akiec | nv |
| 5 | vasc | mel |
| 6 | df | vasc |
Index mapping.
Corrections have been made to Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion, “System architecture”, paragraph two and paragraph three, “Image preprocessing module”, “Image preprocessing and augmentation”, paragraph two and paragraph four, “Determination of the experimental parameters”, Test results of a single classifier, paragraph five and paragraph seven. In these paragraphs, “akiec” should be replaced with “nv”.
In the section, Image preprocessing module, “Dataset”, paragraph one, the corresponding amounts of image data are 6,705, 1,113, 1,099, 514, 327, 142, and 115, respectively.
In the section, Image preprocessing module, “Image preprocessing and augmentation”, paragraph five, any references to the “original index” should be replaced with “correct index” data.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
fusion network, pigmented skin disease, attention mechanism, image style transfer, model interpretability
Citation
Wan L, Ai Z, Chen J, Jiang Q, Chen H, Li Q, Lu Y and Chen L (2023) Corrigendum: Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion. Front. Public Health 11:1229178. doi: 10.3389/fpubh.2023.1229178
Received
26 May 2023
Accepted
05 July 2023
Published
18 July 2023
Volume
11 - 2023
Edited and reviewed by
Ik-Whan Kwon, Saint Louis University, United States
Updates
Copyright
© 2023 Wan, Ai, Chen, Jiang, Chen, Li, Lu and Chen.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yaping Lu luyaping@sinopharm.comLiuqing Chen chlq35@126.com
†These authors have contributed equally to this work and share first authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.