# CS <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net: Deep learning segmentation of curvilinear structures in medical imaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cs-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si1-svg-mml-msup/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lei Mou,Yitian Zhao,Huazhu Fu,Yonghuai Liu,Jun Cheng,Yalin Zheng,Pan Su,Jianlong Yang,Li Chen,Alejandro F. Frangi,Masahiro Akïba,Jiang Liu |
| Citations | 392 |
| DOI | 10.1016/j.media.2020.101874 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1361841520302383 |
| OpenAlex ID | https://openalex.org/W3094059395 |
| PMID | 33166771 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jiang Liu](https://scholariq.org/researchers/jiang-liu/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)
- [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.