优化中风病变细分:使用高斯混合模型和nnU-Net的双重方法

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Adrian Mannel1, Dhaval Khunt2, Vaibhav Agrawal3

  • 1Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tübingen, Tübingen, Germany; Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, Tübingen, Germany.

Computers in biology and medicine
|May 3, 2025
PubMed
概括

像nnU-Net这样的机器学习模型显示出强大的细分,但难以检测中风治疗效果. 使用概率标签的训练可以改善治疗反应的检测.

关键词:
缺血性中风是因为缺血性中风.损伤细分 损伤细分机器学习 机器学习治疗检测 治疗检测

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