# Few-shot classification of ultrasound breast cancer images using meta-learning algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/few-shot-classification-of-ultrasound-breast-cancer-images-using-meta-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gültekin Işık,İshak Paçal |
| Citations | 62 |
| DOI | 10.1007/s00521-024-09767-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00521-024-09767-y.pdf |
| OpenAlex ID | https://openalex.org/W4394912784 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Gültekin Işık](https://scholariq.org/researchers/gultekin-is-k/)

## 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/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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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.