# Self-supervised learning for medical image classification: a systematic review and implementation guidelines

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/self-supervised-learning-for-medical-image-classification-a-systematic-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shih-Cheng Huang,Anuj Pareek,Malte Jensen,Matthew P. Lungren,Serena Yeung,Akshay Chaudhari |
| Citations | 423 |
| DOI | 10.1038/s41746-023-00811-0 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-023-00811-0.pdf |
| OpenAlex ID | https://openalex.org/W4367055910 |
| PMID | 37100953 |
| Type | review |
| Year | 2023 |

## Paper authors

- [Serena Yeung](https://scholariq.org/researchers/serena-yeung/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.