Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases

Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases

Abstract Background Brain metastases are common complications in patients with cancer and significantly affect prognosis and treatment strategies. The accurate segmentation of brain metastases is crucial for effective radiation therapy planning. However, in resource-limited areas, the unavailability...

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Bibliographic Details
Main Authors: Yiren Wang, Zhongjian Wen, Shuilan Bao, Delong Huang, Youhua Wang, Bo Yang, Yunfei Li, Ping Zhou, Huaiwen Zhang, Haowen Pang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Radiation Oncology
Subjects:
Computed tomography
Image procession
Brain metastases
Automated segmentation
Deep learning
Stereotactic radiosurgery
Online Access:https://doi.org/10.1186/s13014-025-02622-x
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https://doi.org/10.1186/s13014-025-02622-x

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