You are currently viewing a new version of our website. To view the old version click .
Cancers
  • Correction
  • Open Access

11 April 2023

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

,
,
,
,
,
and
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.
This article belongs to the Special Issue Updates on Breast Cancer
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.
Figure 5. The training and validation accuracy curves of Connected-SegNets.
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]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.