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基于放射组学与机器学习的乳腺X线摄影预测模型开发及其在乳腺癌精 ...
近年来,放射组学(Radiomics)作为一种非侵入性方法,通过将医学图像转化为可量化的高维特征,为肿瘤表型分析提供了新途径。它能够提取人眼难以辨识的纹理、形状和强度特征,从而辅助鉴别诊断、预测预后和评估治疗反应。结合机器学习(Machine Learning, ...
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