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

Alkhaleefah, Mohammad; Tan, Tan-Hsu; Chang, Chuan-Hsun; Wang, Tzu-Chuan; Ma, Shang-Chih; Chang, Lena; Chang, Yang-Lang

doi:10.3390/cancers15082237

Open AccessCorrection

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

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)

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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

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]

Figure 5. The training and validation accuracy curves of Connected-SegNets.

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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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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

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

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