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影像组学及深度学习在肺结节良恶性鉴别诊断中的新理念 被引量:21

New concepts of imaging omics and deep learningin differential diagnosis of benignand malignant pulmonary nodules
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摘要 随着低剂量螺旋CT广泛应用于体检和肺部疾病的检查,以及人工智能识别肺结节软件的开发和优化,肺结节的检出率明显上升,有数据表明体检肺结节阳性率可高达79.79%,但真正为恶性结节的检出率仅0.44%[1]。肺结节的高检出率也带来了很多的问题,包括患者心理压力的增加、医疗资源的浪费以及恶性结节误诊率的增加。
作者 范卫杰 张冬
出处 《中华肺部疾病杂志(电子版)》 2021年第5期549-553,共5页 Chinese Journal of Lung Diseases(Electronic Edition)
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  • 2刘士远,肖湘生.孤立性肺结节的处理策略[J].中华放射学杂志,2005,39(1):6-8. 被引量:93
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