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RETRACTED: Diwakar et al. Low-Dose COVID-19 CT Image Denoising Using Batch Normalization and Convolution Neural Network. Electronics 2022, 11, 3375
 
 
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Volume 15
Issue 7
10.3390/electronics15071450
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Correction to Electronics 2026, 15(2), 486.
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Correction

Correction: Mavropoulos et al. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486

by
Evangelos Mavropoulos
,
Paraskevi Zacharia
*,
Nikolaos Laskaris
and
Evangelos Pallis
Department of Industrial Design and Production Engineering, University of West Attica, Egaleo, 122 41 Athens, Greece
*
Author to whom correspondence should be addressed.
Electronics 2026, 15(7), 1450; https://doi.org/10.3390/electronics15071450
Submission received: 25 March 2026 / Accepted: 27 March 2026 / Published: 31 March 2026
Browse Figures
Versions Notes
Error in Figure
In the original publication [1], there was a mistake in Figures 10, 11 and 13 as published. The titles of Figures 10, 11 and 13 are incorrect and need to be updated.
The corrected Figure 10 and Figure 11 and Figure 13 appear below.
Electronics 15 01450 g010
Figure 10. Comparison of training and validation accuracy of the first model.
Figure 10. Comparison of training and validation accuracy of the first model.
Electronics 15 01450 g010
Electronics 15 01450 g011
Figure 11. Comparison of training and validation loss of the first model.
Figure 11. Comparison of training and validation loss of the first model.
Electronics 15 01450 g011
Electronics 15 01450 g013
Figure 13. Comparison of training and validation accuracy of the second model.
Figure 13. Comparison of training and validation accuracy of the second model.
Electronics 15 01450 g013
In the original publication [1], there was a mistake in Figure 14 as published. Figure 14 is the same as Figure 11. It needs to be replaced with a new and correct figure.
The corrected Figure 14 appears below.
Electronics 15 01450 g014
Figure 14. Comparison of training and validation loss of the second model.
Figure 14. Comparison of training and validation loss of the second model.
Electronics 15 01450 g014
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Mavropoulos, E.; Zacharia, P.; Laskaris, N.; Pallis, E. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Mavropoulos, E.; Zacharia, P.; Laskaris, N.; Pallis, E. Correction: Mavropoulos et al. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486. Electronics 2026, 15, 1450. https://doi.org/10.3390/electronics15071450

AMA Style

Mavropoulos E, Zacharia P, Laskaris N, Pallis E. Correction: Mavropoulos et al. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486. Electronics. 2026; 15(7):1450. https://doi.org/10.3390/electronics15071450

Chicago/Turabian Style

Mavropoulos, Evangelos, Paraskevi Zacharia, Nikolaos Laskaris, and Evangelos Pallis. 2026. "Correction: Mavropoulos et al. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486" Electronics 15, no. 7: 1450. https://doi.org/10.3390/electronics15071450

APA Style

Mavropoulos, E., Zacharia, P., Laskaris, N., & Pallis, E. (2026). Correction: Mavropoulos et al. Class-Balanced Convolutional Neural Networks for Digital Mammography Image Classification in Breast Cancer Diagnosis. Electronics 2026, 15, 486. Electronics, 15(7), 1450. https://doi.org/10.3390/electronics15071450

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