Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis

Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis

Abstract Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney anomalies. To provide an enhanced interpretation o...

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Bibliographic Details
Main Authors: Olivier X. Miguel, Emily Kaczmarek, Inok Lee, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Ruth Rennicks White, Brigitte Bonin, Richard I. Aviv, Steven Hawken, Christine M. Armour, Kevin Dick, Mark C. Walker
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Kidney anomaly diagnosis
Deep learning
Ultrasound imagery
Online Access:https://doi.org/10.1038/s41598-024-59248-4

Internet

https://doi.org/10.1038/s41598-024-59248-4

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