# Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/few-shot-learning-in-histopathological-images-reducing-the-need-of-labeled-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alfonso Medela,Artzai Picón,Cristina L. Saratxaga,Oihana Belar,Virginia Cabezón,Riccardo Cicchi,Roberto Bilbao,Ben Glover |
| Citations | 65 |
| DOI | 10.1109/isbi.2019.8759182 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/11556/769 |
| OpenAlex ID | https://openalex.org/W2959874569 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Alfonso Medela](https://scholariq.org/researchers/alfonso-medela/)

## 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/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

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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.