# Robust chest CT image segmentation of COVID-19 lung infection based on limited data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/robust-chest-ct-image-segmentation-of-covid-19-lung-infection-based-on-limited/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dominik Müller,Iñaki Soto‐Rey,Frank Krämer |
| Citations | 108 |
| DOI | 10.1016/j.imu.2021.100681 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S2352914821001660/pdf |
| OpenAlex ID | https://openalex.org/W3107214201 |
| PMID | 34337140 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Iñaki Soto‐Rey](https://scholariq.org/researchers/inaki-soto-rey/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [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.