# Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/few-shot-anomaly-detection-for-polyp-frames-from-colonoscopy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yu Tian,Gabriel Maicas,Leonardo Zorrón Cheng Tao Pu,Rajvinder Singh,Johan Verjans,Gustavo Carneiro |
| Citations | 42 |
| DOI | 10.1007/978-3-030-59725-2_27 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3092164539 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Leonardo Zorrón Cheng Tao Pu](https://scholariq.org/researchers/leonardo-zorron-cheng-tao-pu/)

## Paper journal

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

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.