# CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cswin-pnet-a-cnn-swin-transformer-combined-pyramid-network-for-breast-lesion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haonan Yang,Dapeng Yang |
| Citations | 151 |
| DOI | 10.1016/j.eswa.2022.119024 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4306393227 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Dapeng Yang](https://scholariq.org/researchers/dapeng-yang/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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.