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Volume 15
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Correction to Cancers 2022, 14(16), 4030.
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Correction

Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030

by
Mohammad Alkhaleefah
1,†,
Tan-Hsu Tan
1,†,
Chuan-Hsun Chang
2,*,
Tzu-Chuan Wang
1,
Shang-Chih Ma
1,
Lena Chang
3 and
Yang-Lang Chang
1,*
1
Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2
Division of General Surgery, Cheng Hsin General Hospital, Taipei 112, Taiwan
3
Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 202301, Taiwan
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Cancers 2023, 15(8), 2237; https://doi.org/10.3390/cancers15082237
Submission received: 8 February 2023 / Accepted: 6 March 2023 / Published: 11 April 2023
(This article belongs to the Special Issue Updates on Breast Cancer)
Browse Figure
Versions Notes
In the original publication [1], there was a mistake in Figure 5 as published. Figure 6 was repeated twice. The corrected Figure 5 appears below.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated with the correct Figure 5.

Reference

  1. Alkhaleefah, M.; Tan, T.-H.; Chang, C.-H.; Wang, T.-C.; Ma, S.-C.; Chang, L.; Chang, Y.-L. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030. [Google Scholar] [CrossRef] [PubMed]
Cancers 15 02237 g005 550
Figure 5. The training and validation accuracy curves of Connected-SegNets.
Figure 5. The training and validation accuracy curves of Connected-SegNets.
Cancers 15 02237 g005
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Share and Cite

MDPI and ACS Style

Alkhaleefah, M.; Tan, T.-H.; Chang, C.-H.; Wang, T.-C.; Ma, S.-C.; Chang, L.; Chang, Y.-L. Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030. Cancers 2023, 15, 2237. https://doi.org/10.3390/cancers15082237

AMA Style

Alkhaleefah M, Tan T-H, Chang C-H, Wang T-C, Ma S-C, Chang L, Chang Y-L. Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030. Cancers. 2023; 15(8):2237. https://doi.org/10.3390/cancers15082237

Chicago/Turabian Style

Alkhaleefah, Mohammad, Tan-Hsu Tan, Chuan-Hsun Chang, Tzu-Chuan Wang, Shang-Chih Ma, Lena Chang, and Yang-Lang Chang. 2023. "Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030" Cancers 15, no. 8: 2237. https://doi.org/10.3390/cancers15082237

APA Style

Alkhaleefah, M., Tan, T. -H., Chang, C. -H., Wang, T. -C., Ma, S. -C., Chang, L., & Chang, Y. -L. (2023). Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030. Cancers, 15(8), 2237. https://doi.org/10.3390/cancers15082237

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