Abstract
The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. Mohammad Shabaz and Seifeine Kadry disagree with this retraction. The remaining authors have not responded to correspondence regarding this retraction.
| Original language | English |
|---|---|
| Article number | 59 |
| Journal | Discover Applied Sciences |
| Volume | 7 |
| Issue number | 1 |
| DOIs |
|
| State | Published - Jan 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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Dive into the research topics of 'RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion (Discover Applied Sciences, (2024), 6, 6, (300), 10.1007/s42452-024-05998-9)'. Together they form a unique fingerprint.Cite this
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