# Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/blood-vessel-segmentation-algorithms-review-of-methods-datasets-and-evaluation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sara Moccia,Elena De Momi,Sara El Hadji,Leonardo S. Mattos |
| Citations | 568 |
| DOI | 10.1016/j.cmpb.2018.02.001 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/11311/1043289 |
| OpenAlex ID | https://openalex.org/W2791117644 |
| PMID | 29544791 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Elena De Momi](https://scholariq.org/researchers/elena-de-momi/)

## Paper journal

- [Computer Methods and Programs in Biomedicine](https://scholariq.org/journals/computer-methods-and-programs-in-biomedicine/)

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [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.