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Updated: Jan 14, 2026

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在脑瘤MRI图像细分中,基于轻型心腔注意模块的YOLOv5模型的应用研究

Tao Yang1, Jinghui Chen1, Lianxin Xie1

  • 1The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.

Frontiers in medicine
|October 27, 2025
PubMed
概括

一种新的轻量级心房注意力模块 (LAAM) 改善了MRI扫描中的脑瘤细分. 这种方法提高了准确性和回忆力,同时保持了计算效率,以便更好地进行临床诊断.

关键词:
轻量级的其他注意力模块 (LAAM)这就是YOLOv5S.人工智能的人工智能是人工智能.大脑瘤是个大脑瘤图像细分 图像细分磁共振成像 (MRI) 的使用.

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