# MISeval: A Metric Library for Medical Image Segmentation Evaluation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/miseval-a-metric-library-for-medical-image-segmentation-evaluation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dominik Müller,Dennis Hartmann,Philip Meyer,Florian Auer,Iñaki Soto‐Rey,Frank Krämer |
| Citations | 22 |
| DOI | 10.3233/shti220391 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220391 |
| OpenAlex ID | https://openalex.org/W4281564823 |
| PMID | 35612011 |
| Type | book-chapter |
| Year | 2022 |

## Paper authors

- [Philip Meyer](https://scholariq.org/researchers/philip-meyer/)

## Paper journal

- [Studies in health technology and informatics](https://scholariq.org/journals/studies-in-health-technology-and-informatics/)

## Paper primary topic

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

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-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.