Front. Public Health Frontiers in Public Health Front. Public Health 2296-2565 Frontiers Media S.A. 10.3389/fpubh.2023.1229178 Public Health Correction Corrigendum: Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion Wan Li 1 2 † Ai Zhuang 3 † Chen Jinbo 1 † Jiang Qian 1 Chen Hongying 1 Li Qi 3 Lu Yaping 3 * Chen Liuqing 1 * 1Dermatology Department, Wuhan No.1 Hospital, Hubei, China 2Dermatology Hospital of Southern Medical University, Guangzhou, China 3Department of Research and Development, Sinopharm Genomics Technology Co., Ltd., Jiangsu, China

Edited and reviewed by: Ik-Whan Kwon, Saint Louis University, United States

 *Correspondence: Yaping Lu luyaping@sinopharm.com Liuqing Chen chlq35@126.com

†These authors have contributed equally to this work and share first authorship

 18 07 2023 2023 11 1229178 26 05 2023 05 07 2023 Copyright © 2023 Wan, Ai, Chen, Jiang, Chen, Li, Lu and Chen. 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.

 A corrigendum on Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion by Wan, L., Ai, Z., Chen, J., Jiang, Q., Chen, H., Li, Q., Lu, Y., and Chen, L. (2022). Front. Public Health 10:1034772. doi: 10.3389/fpubh.2022.1034772 fusion network pigmented skin disease attention mechanism image style transfer model interpretability section-at-acceptance Digital Public Health

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 mapping.

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

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.

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.