Author Correction: Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence.
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| Title: | Author Correction: Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence. |
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| Authors: | Ahmed F; School of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan., Abbas S; Department of Computer Sciences, Bahria University, Lahore Campus, Lahore, 54000, Pakistan., Athar A; Department of Computer Science, Comsats University Islamabad, Lahore Campus, Lahore, 54000, Pakistan., Shahzad T; Department of Computer Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, 57000, Pakistan., Khan WA; School of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan., Alharbi M; Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, 11942, Alkharj, Saudi Arabia., Khan MA; School of Computing, Skyline University College, University City Sharjah, 1797, Sharjah, UAE. adnan@gachon.ac.kr.; Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, Seongnam-si, 13120, Republic of Korea. adnan@gachon.ac.kr.; Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore Campus, Lahore, 54000, Pakistan. adnan@gachon.ac.kr., Ahmed A; AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar. ara4013@qatar-med.cornell.edu. |
| Source: | Scientific reports [Sci Rep] 2024 May 06; Vol. 14 (1), pp. 10366. Date of Electronic Publication: 2024 May 06. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-60554-0 |
