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Correction: Prediction of Alzheimer’s Using Random Forest with Radiomic Features

by Anuj Singh*, Raman Kumar, Arvind Kumar Tiwari

KNIT Sultanpur, Sultanpur, 228118, India

* Corresponding Author: Anuj Singh. Email: email

Computer Systems Science and Engineering 2024, 48(1), 269-269. https://doi.org/10.32604/csse.2023.047533

This article is a correction of:

Prediction of Alzheimer’s Using Random Forest with Radiomic Features
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Abstract

This article has no abstract.

In the article “Prediction of Alzheimer’s Using Random Forest with Radiomic Features” by Anuj Singh, Raman Kumar and Arvind Kumar Tiwari (Computer Systems Science and Engineering, 2023, Vol. 45, No. 1, pp. 513–530. doi: 10.32604/csse.2023.029608), the References [4146] was wrongly cited.

The authors sincerely apologize for any inconvenience caused by the inappropriate inclusion of References [4146] and related content in the original text. The authors have corrected this mistake by removing References [4146] and any related content referencing it in the main text.

Please find below the corrected information:

1. Deleted References [4146]:

41. X. R. Zhang, X. Sun, W. Sun, T. Xu and P. P. Wang, “Deformation expression of soft tissue based on BP neural network,” Intelligent Automation & Soft Computing, vol. 32, no. 2, pp. 1041–1053, 2022.

42. X. R. Zhang, J. Zhou, W. Sun and S. K. Jha, “A lightweight CNN based on transfer learning for COVID-19 diagnosis,” Computers, Materials & Continua, vol. 72, no. 1, pp. 1123–1137, 2022.

43. S. Manu, T. R. Aparna, P. R. Anurenjan and K. G. Sreeni, Deep learning-based prediction of Alzheimer’s disease from magnetic resonance images. In: Intelligent Vision in Healthcare, pages 145–151, 2022.

44. K. D. Jyoti, V. P. Singh and V. Kumar, “Two-way threshold-based intelligent water drops feature selection algorithm for accurate detection of breast cancer,” Soft Computing, vol. 26, no. 5, pp. 2277–2305, 2022.

45. T. Ashima, V. P. Singh and M. M. Gore, “Improved detection of coronary artery disease using DT-RFE based feature selection and ensemble learning,” in Proc. Int. Conf. on Advanced Network Technologies and Intelligent Computing, Varanasi, India, Springer, pp. 425–440, 2021.

46. V. Aman and V. P. Singh, “HSADML: Hyper-sphere angular deep metric based learning for brain tumor classification,” arXiv preprint arXiv, pp. 2201.12269, 2022.

2. Deleted content referencing References [4146] in the main text:

“Other deep learning based techniques to predict Alzheimer’s [4146].”

The authors state that the scientific conclusions are unaffected. This correction was approved by the Computer Systems Science and Engineering Editorial Office. The original publication has also been updated.


Cite This Article

APA Style
Singh, A., Kumar, R., Tiwari, A.K. (2024). Correction: prediction of alzheimer’s using random forest with radiomic features. Computer Systems Science and Engineering, 48(1), 269-269. https://doi.org/10.32604/csse.2023.047533
Vancouver Style
Singh A, Kumar R, Tiwari AK. Correction: prediction of alzheimer’s using random forest with radiomic features. Comput Syst Sci Eng. 2024;48(1):269-269 https://doi.org/10.32604/csse.2023.047533
IEEE Style
A. Singh, R. Kumar, and A. K. Tiwari, “Correction: Prediction of Alzheimer’s Using Random Forest with Radiomic Features,” Comput. Syst. Sci. Eng., vol. 48, no. 1, pp. 269-269, 2024. https://doi.org/10.32604/csse.2023.047533


cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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