# Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-chest-ct-image-segmentation-of-covid-19-lung-infection-based-on-3d-u/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dominik Müller,Iñaki Soto‐Rey,Frank Krämer |
| Citations | 41 |
| DOI | 10.5281/zenodo.3902293 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://zenodo.org/record/3902293 |
| OpenAlex ID | https://openalex.org/W3039499593 |
| Type | dataset |
| Year | 2020 |

## Paper authors

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

## Paper journal

- [Zenodo (CERN European Organization for Nuclear Research)](https://scholariq.org/journals/zenodo-cern-european-organization-for-nuclear-research/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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