Deep Learning of Videourodynamics to Classify Bladder Dysfunction Severity in Patients With Spina Bifida

Author:

Weaver John K.1,Martin-Olenski Madalyne2,Logan Joseph23,Broms Reiley2,Antony Maria2,Van Batavia Jason2,Weiss Dana A.2,Long Christopher J.2,Smith Ariana L.4,Zderic Stephen A.2,Huang Jing56,Fan Yong7,Tasian Gregory E.256

Affiliation:

1. Department of Urology, Rainbow Babies and Children’s Hospital/Case Western Reserve University School of Medicine, Cleveland, Ohio

2. Division of Pediatric Urology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania

3. Translational Research Informatics Group, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania

4. Division of Urology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania

5. Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania

6. Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania

7. Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

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