The journal retracts the article titled “Diagnosis of Autism in Children Using Deep Learning Techniques by Analyzing Facial Features” [1], cited above.
Following publication, concerns were brought to the attention of the Editorial Office regarding the underlying dataset used in this publication [1].
In accordance with the journal’s standard procedures, the Editorial Office and the Advisory Board conducted an investigation that identified significant concerns regarding the methodology of this study and the use of an uncurated dataset. Moreover, the investigation could not verify that ethical approval had been obtained, or that informed consent had been provided by the legal guardians of the children whose images were included in this article [1].
As a result, the Advisory Board has lost confidence in the reliability of the findings and conclusions reported in this article and has decided to retract and remove this paper in accordance with MDPI’s retraction policy.
To maintain the integrity of the scholarly record, the title, author information and this retraction notice will remain permanently available, while the article itself has been removed. This information has also been transmitted to the relevant indexing services.
This retraction was approved by the Advisory Board of the journal Engineering Proceedings.
The authors have been informed of this retraction and have acknowledged the decision.
Reference
- Reddy, P.; J, A. RETRACTED: Diagnosis of Autism in Children Using Deep Learning Techniques by Analyzing Facial Features. Eng. Proc. 2023, 59, 198. [Google Scholar] [CrossRef] [Scilit]
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