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Research and Reports in Urology Volume 13, 2021 - Issue
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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
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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 ArabiaORCID Iconhttps://orcid.org/0000-0002-4936-2104
ORCID Icon,
Saleh BinsalehDivision of Urology, Department of Surgery, College of Medicine and King Saud University Medical City, King Saud University, Riyadh, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0001-8946-4749
ORCID Icon,
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
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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
 show all
Pages 867-876 | Published online: 29 Dec 2021

References

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