On the In Vivo Recognition of Kidney Stones Using Machine Learning

On the In Vivo Recognition of Kidney Stones Using Machine Learning

Determining the type of kidney stones allows urologists to prescribe a treatment to avoid the recurrence of renal lithiasis. An automated in-vivo image-based classification method would be an important step towards an immediate identification of the kidney stone type required as a first phase of the...

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Bibliographic Details
Main Authors: Francisco Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza, Gilberto Ochoa, Christian Daul
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
endoscopy
kidney stones
machine learning
Online Access:https://ieeexplore.ieee.org/document/10384337/
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https://ieeexplore.ieee.org/document/10384337/

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