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 of MRI imaging is a significant challenge that necessitates the development of reliable segmentation models for computed tomography images (CT).

Purpose

This study aimed to develop and evaluate a Diffusion-CSPAM-U-Net model for the segmentation of brain metastases on CT images and thereby provide a robust tool for radiation oncologists in regions where magnetic resonance imaging (MRI) is not accessible.

Methods

The proposed Diffusion-CSPAM-U-Net model integrates diffusion models wi

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11971865 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature