AIMC Topic: Struvite
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Prediction of the composition of urinary stones using deep learning.
Investigative and clinical urology
May 25, 2022
PURPOSE: This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images.
Deep learning computer vision algorithm for detecting kidney stone composition.
BJU international
Mar 3, 2020
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.
Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.
European radiology
Nov 26, 2019
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed tomography and machine learning.
A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Mar 1, 2025
In small animal practice, patients often present with urinary lithiasis, and prediction of urolith composition is essential to determine the appropriate treatment. Through abdominal radiographs, the composition of mineral radiopaque uroliths can be d...
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