# Identifying normal mammograms in a large screening population using artificial intelligence

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identifying-normal-mammograms-in-a-large-screening-population-using-artificial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kristina Lång,Magnus Dustler,Victor Dahlblom,Anna Åkesson,Ingvar Andersson,Sophia Zackrisson |
| Citations | 131 |
| DOI | 10.1007/s00330-020-07165-1 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00330-020-07165-1.pdf |
| OpenAlex ID | https://openalex.org/W3081726800 |
| PMID | 32876835 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Kristina Lång](https://scholariq.org/researchers/kristina-lang/)

## Paper journal

- [European Radiology](https://scholariq.org/journals/european-radiology/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.