Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases
The diffusion-CSPAM-U-Net model showed promising results in segmenting brain metastases in CT images, particularly in terms of sensitivity and accuracy. The proposed diffusion-CSPAM-U-Net model provides an effective tool for radiation oncologists for the segmentation of brain metastases in CT images.
Authors
- Youhua Wang (ORCID: https://orcid.org/0000-0002-2100-3046)
- Ping Zhou (ORCID: https://orcid.org/0000-0002-0643-8527)
- Delong Huang (ORCID: https://orcid.org/0000-0003-2399-7221)
- Huaiwen Zhang (ORCID: https://orcid.org/0000-0001-6259-6426)
- Yunfei Li
- Shuilan Bao
- Yiren Wang (ORCID: https://orcid.org/0000-0001-6757-5923)
- Zhongjian Wen
- Bo Yang (ORCID: https://orcid.org/0000-0002-6156-8957)
- Haowen Pang
Institutions
- Southwest Medical University (CN)
- Affiliated Hospital of Southwest Medical University (CN)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1186/s13014-025-02622-x
- Citations
- 3
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 2.53
Funders
- National College Students Innovation and Entrepreneurship Training Program