# Towards a guideline for evaluation metrics in medical image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-a-guideline-for-evaluation-metrics-in-medical-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dominik Müller,Iñaki Soto‐Rey,Frank Krämer |
| Citations | 612 |
| DOI | 10.1186/s13104-022-06096-y |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmcresnotes.biomedcentral.com/counter/pdf/10.1186/s13104-022-06096-y |
| OpenAlex ID | https://openalex.org/W4283160212 |
| PMID | 35725483 |
| Type | article |
| Year | 2022 |

## Paper authors

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

## Paper journal

- [BMC Research Notes](https://scholariq.org/journals/bmc-research-notes/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.