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A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept

Adree Khondker, Jethro C.C. Kwong, Mandy Rickard, Marta Skreta, Daniel T. Keefe, Armando J. Lorenzo, Lauren Erdman

2021Journal of Pediatric Urology34 citationsDOI

Topics & Concepts

MedicineVesicoureteral refluxArtificial intelligenceReceiver operating characteristicVoiding cystourethrogramGrading (engineering)Random forestTortuosityRadiologyComputer scienceRefluxPathologyInternal medicineGeologyEngineeringCivil engineeringGeotechnical engineeringDiseasePorosityPediatric Urology and Nephrology StudiesKidney Stones and Urolithiasis TreatmentsRenal and Vascular Pathologies
A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept | Litcius