CAKUT vs. normal kidneys, Miscelleneous.
| Article DOI | https://doi.org/10.1016/j.jpurol.2018.10.020 |
| Objective | To classify kidneys of normal children and those with CAKUT |
| AI Approach | SVM and CNN with transfer learning |
| Data Source(s) | Institutional series (100 children) |
| Model Input | Features from segmented kidneys by transfer learning and conventional imaging |
| Model Outcome | CAKUT |
| Model Metrics | AUROC = 0.81-0.92 |
| Model Usability | NA |
AIPEDURO 
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