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在肺癌患者中,使用先进的放射学和深度学习来个性化预测免疫治疗反应

Chien-Yi Liao1,2, Yuh-Min Chen3,4, Yu-Te Wu5,6

  • 1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei, 112, Taiwan.

Cancer imaging : the official publication of the International Cancer Imaging Society
|October 1, 2024
PubMed
概括

结合成像生物标志物和临床数据的新模型预测了接受免疫疗法 (IO) 的肺癌 (LC) 患者的无进展生存期 (PFS). 这种方法有助于个性化治疗,改善晚期LC的治疗结果.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.肺癌是一种肺癌.结果预测结果预测.无线电学 (Radiomics) 是一种无线电学.

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