# Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/catheter-segmentation-in-x-ray-fluoroscopy-using-synthetic-data-and-transfer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marta Gherardini,Evangelos B. Mazomenos,Arianna Menciassi,Danail Stoyanov |
| Citations | 59 |
| DOI | 10.1016/j.cmpb.2020.105420 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0169260719312301/pdf |
| OpenAlex ID | https://openalex.org/W3006982732 |
| PMID | 32171151 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Evangelos B. Mazomenos](https://scholariq.org/researchers/evangelos-b-mazomenos/)

## Paper journal

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

## Paper primary topic

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

## Paper topics

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Photoacoustic and Ultrasonic Imaging](https://scholariq.org/topics/photoacoustic-and-ultrasonic-imaging/)

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