# Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/segmentation-of-ultrasound-image-sequences-by-combing-a-novel-deep-siamese/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bo Ni,Zhiyuan Liu,Xiantao Cai,Michele Nappi,Shaohua Wan |
| Citations | 34 |
| DOI | 10.1007/s00521-022-07054-2 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4225709903 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Xiantao Cai](https://scholariq.org/researchers/xiantao-cai/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.