WITHDRAWN: A 3D CNN Model Framework for Early Identification and Classification of Alzheimer’s in Brain MRI Images

WITHDRAWN: A 3D CNN Model Framework for Early Identification and Classification of Alzheimer’s in Brain MRI Images

Naveen Mukkapati* Archana Nalluri Venkata Krishna Rao Likki Konatham Sumalatha Zarapala Sunitha Bai

Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522502, India

Department of Computer Science and Engineering, Vignans Foundation for Science, Technology, and Research, Vadlamudi 522213, India

Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Kanuru 520007, India

Department of Database Systems, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India

Department of Computer Science and Engineering, R.V.R. & J.C. College of Engineering, Guntur 522019, India

Corresponding Author Email: 
mnaveen@kluniversity.in
Page: 
2833-2839
|
DOI: 
https://doi.org/10.18280/mmep.111026
Received: 
21 December 2023
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Revised: 
23 June 2024
|
Accepted: 
1 August 2024
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Available online: 
31 October 2024
| Citation

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This article has been withdrawn.

This article has been withdrawn at the request of the corresponding author Mr. Naveen Mukkapati and a third party, Mr. Duda Prasad.

The corresponding author of the article contacted the journal requesting the withdrawal of their paper, stating that they believe retracting the article is the most appropriate course of action. They cited errors in data and ethical concerns as the primary reasons for their decision.

Meanwhile, the journal received a complaint from Mr. Duda Prasad alleging severe plagiarism in the article along with supporting evidence. The authors were informed of this complaint but have not provided a response or explanation regarding the specific allegations of plagiarism.

In response to these findings, we have decided to retract the article. This decision is in line with international publication ethics standards and reflects our dedication to maintaining the integrity of academic research.

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