Research and Reports in Urology
Volume 13, 2021 - Issue
Open access
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Original Research
Neural Network Analysis of Crystalluria Content to Predict Urinary Stone Type
Raed M AlmannieDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
, Abdullah K AlsufyaniDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi ArabiaCorrespondence[email protected]
, Abdullah U AlturkiDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
, Mana AlmuhaidebDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
https://orcid.org/0000-0002-4936-2104
Saleh BinsalehDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
https://orcid.org/0000-0001-8946-4749
Abdulaziz M AlthunayanDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
, Mohammed A AlomarDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
, Khalid M AlbarraqDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
& Fahad A AlyamiDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
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Pages 867-876
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Published online: 29 Dec 2021
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