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Updated: Jul 30, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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深度学习和线性算法的缩放行为用于预测中风严重程度

Anthony Bourached1,2, Anna K Bonkhoff1, Markus D Schirmer1

  • 1J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.

Brain communications
|January 26, 2024
PubMed
概括

在更大的患者样本中,深度学习模型可以比线性回归更好地预测中风的严重程度. 这种对中风预测结果的进步利用MRI衍生病变数据来改善临床决策.

关键词:
深度学习是一种深度学习.缺血性中风是因为中风.预测 预测 预测 预测扩展行为扩展行为.脑中风的严重程度 中风的严重程度

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