# Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-deep-learning-algorithms-to-grade-hydronephrosis-severity-toward-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lauren C. Smail,Kiret Dhindsa,Luis H. Braga,Suzanna Becker,Ranil Sonnadara |
| Citations | 137 |
| DOI | 10.3389/fped.2020.00001 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fped.2020.00001/pdf |
| OpenAlex ID | https://openalex.org/W2999205267 |
| PMID | 32064241 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ranil Sonnadara](https://scholariq.org/researchers/ranil-sonnadara/)

## Paper primary topic

- [Pediatric Urology and Nephrology Studies](https://scholariq.org/topics/pediatric-urology-and-nephrology-studies/)

## Paper topics

- [Pediatric Urology and Nephrology Studies](https://scholariq.org/topics/pediatric-urology-and-nephrology-studies/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Urological Disorders and Treatments](https://scholariq.org/topics/urological-disorders-and-treatments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.