This article is a correction to:
Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion
Li Wan1,2†
Zhuang Ai
Jinbo Chen
Liuqing Chen- 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
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
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.
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.
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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.
Edited and reviewed by: Ik-Whan Kwon, Saint Louis University, United States
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.com; Liuqing Chen, chlq35@126.com
†These authors have contributed equally to this work and share first authorship