影像组学技术方法的研究及挑战

被引：122

作者：

史张

刘崎

机构：

[1] 中国人民解放军海军军医大学第一附属医院放射科

来源：

放射学实践 | 2018年 / 33卷 / 06期

关键词：

影像组学; 人工智能; 研究技术;

D O I：

暂无

中图分类号：

R445 [影像诊断学];

学科分类号：

100231 [临床病理学];

摘要：

随着医疗大数据时代的到来,影像组学成为不可或缺的大数据分析及人工智能发展技术手段,它通过高通量特征提取算法,对影像图像进行定量分析,充分深入挖掘和分析隐含在图像中的额外信息,最高效地利用影像学检查结果,从而提供有价值的诊断、预后或预测信息,以支持个性化的临床决策和改善个体化的治疗选择。

引用

页码：633 / 636

页数：4

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