PUV
| Article DOI | https://doi.org/10.1016/j.urology.2020.05.019 |
| Objective | To diagnose children with PUV |
| AI Approach | CNN with transfer learning |
| Data Source(s) | Institutional series (157 children: 3504 sagittal ultrasounds, 2558 transverse ultrasounds) |
| Model Input | Sagittal and/or transverse features of renal ultrasounds |
| Model Outcome | PUV |
| Model Metrics | AUROC = 0.96, accuracy = 93% |
| Model Usability | https://github.com/YS181818/CAKUT_diagnosis/tree/master |
AIPEDURO 
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