# Biomedical Data Augmentation Using Generative Adversarial Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/biomedical-data-augmentation-using-generative-adversarial-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Francesco Calimeri,Aldo Marzullo,Claudio Stamile,Giorgio Terracina |
| Citations | 146 |
| DOI | 10.1007/978-3-319-68612-7_71 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2765253680 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Aldo Marzullo](https://scholariq.org/researchers/aldo-marzullo/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

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

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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.