# Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnostic-performance-of-ai-for-cancers-registered-in-a-mammography-screening/

## Facts

| Field | Value |
| --- | --- |
| Author Names | İnci Kızıldağ Yirgin,Yılmaz Onat Köylüoğlu,Mustafa Ege Şeker,Sibel Özkan Gürdal,Ayşe Özaydın,Beyza Özçınar,Neslihan Cabıoğlu,Vahit Özmen,Erkin Arıbal |
| Citations | 48 |
| DOI | 10.1177/15330338221075172 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.sagepub.com/doi/pdf/10.1177/15330338221075172 |
| OpenAlex ID | https://openalex.org/W4205711149 |
| PMID | 35060413 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Ayşe Özaydın](https://scholariq.org/researchers/ayse-ozayd-n/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Global Cancer Incidence and Screening](https://scholariq.org/topics/global-cancer-incidence-and-screening/)

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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.