There are errors in the Funding statement. The correct Funding statement is as follows: The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Larg Groups Project under grant number (RGP2/42/43). Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R203), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: (22UQU4310373DSR39). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Reference
- 1. Rehman M, Ali M, Obayya M, Asghar J, Hussain L, Nour M K., et al. (2022) Machine learning based skin lesion segmentation method with novel borders and hair removal techniques. PLOS ONE 17(11): e0275781. https://doi.org/10.1371/journal.pone.0275781 pmid:36355845
Citation: Rehman M, Ali M, Obayya M, Asghar J, Hussain L, Nour MK, et al. (2024) Correction: Machine learning based skin lesion segmentation method with novel borders and hair removal techniques. PLoS ONE 19(12): e0316115. https://doi.org/10.1371/journal.pone.0316115
Published: December 17, 2024
Copyright: © 2024 Rehman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.