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      Author Correction: Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

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          Author and article information

          Contributors
          adnan@gachon.ac.kr
          ara4013@qatar-med.cornell.edu
          Journal
          Sci Rep
          Sci Rep
          Scientific Reports
          Nature Publishing Group UK (London )
          2045-2322
          6 May 2024
          6 May 2024
          2024
          : 14
          : 10366
          Affiliations
          [1 ]School of Computer Science, National College of Business Administration and Economics, ( https://ror.org/02my4wj17) Lahore, 54000 Pakistan
          [2 ]Department of Computer Sciences, Bahria University, ( https://ror.org/02v8d7770) Lahore Campus, Lahore, 54000 Pakistan
          [3 ]Department of Computer Science, Comsats University Islamabad, ( https://ror.org/00nqqvk19) Lahore Campus, Lahore, 54000 Pakistan
          [4 ]Department of Computer Sciences, COMSATS University Islamabad, ( https://ror.org/00nqqvk19) Sahiwal Campus, Sahiwal, 57000 Pakistan
          [5 ]Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, ( https://ror.org/04jt46d36) 11942 Alkharj, Saudi Arabia
          [6 ]School of Computing, Skyline University College, University City Sharjah, ( https://ror.org/05r7nbf33) 1797 Sharjah, UAE
          [7 ]Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, ( https://ror.org/03ryywt80) Seongnam-si, 13120 Republic of Korea
          [8 ]Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, ( https://ror.org/02kdm5630) Lahore Campus, Lahore, 54000 Pakistan
          [9 ]GRID grid.416973.e, ISNI 0000 0004 0582 4340, AI Center for Precision Health, , Weill Cornell Medicine-Qatar, ; Doha, Qatar
          Article
          60554
          10.1038/s41598-024-60554-0
          11074119
          38710710
          17de317d-e31f-44a5-a0b9-033a0a619303
          © The Author(s) 2024

          Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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