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Updated: Jun 3, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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在黑血MRI中增强大脑转移的检测和细分,使用深度学习和细分任何模型 (SAM)

Sang Kyun Yoo1,2, Tae Hyung Kim1,3, Jin Sung Kim1,2,4

  • 1Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.

Yonsei medical journal
|July 25, 2025
PubMed
概括

通过生成对抗网络 (GAN) 和细分任何模型 (SAM) 后处理增强的深度学习模型显著改善了黑血MRI扫描上的大脑转移 (BM) 检测和细分. 这种方法在医学成像中提供了更高的准确性来识别BMs.

关键词:
黑血图像 黑血图像 黑血图像分段 任何 模型 模型自动细分的自动细分.大脑转移是大脑转移.深度学习是一种深度学习.

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