Radiomic Researches for Lung Cancer

Radiomic Researches for Lung Cancer
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肺癌放射组学研究

DOI:
10.11318/mii.38.59
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发表时间:
2021
期刊:
Medical Imaging and Information Sciences
影响因子:
--
通讯作者:
内山良一
内山良一
中科院分区:
--
文献类型:
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作者:
藏本裕香;内山良一;内山良一

文献摘要

相似文献

计算机辅助设计和放射组学已被用于开发放射学领域的人工智能系统。CAD系统支持对各种疾病的检测和鉴别诊断。这些系统根据当前的图像估计当前的疾病状态。放射组学通过预测预后和治疗效果,为发现疾病后的医疗提供支持。因此,放射组学与CAD的不同之处在于,它根据当前图像预测未来的状态。本文介绍了肺癌放射组学研究的现状。
CAD and radiomics have been used to develop AI systems in the field of radiology. CAD systems support the detection and differential diagnoses of various diseases. These systems estimate the present disease state from current images. Radiomics supports medical care after a disease is detected by predicting prognostic and therapeutic effects. Therefore, radiomics differs from CAD in that it predicts a future state from a current image. This paper describes the current state of radiomic research for lung cancer.