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基于多尺度特征学习的CCTA图像中的冠状动脉细分

Bu Xu1, Jinzhong Yang1, Peng Hong2

  • 1College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.

Journal of X-ray science and technology
|June 29, 2024
PubMed
概括

一个新的多尺度特征学习和校正 (MFLR) 网络使冠状动脉在医学图像中的自动和准确细分成为可能. 这种方法通过克服当前方法的局限性,改善了冠状动脉疾病的诊断.

关键词:
在CCTA中,它是最重要的.冠状动脉细分的划分功能纠正 功能纠正 功能纠正功能融合功能融合功能多个尺度的特征.

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