Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT.
Northwell Health, and Feinstein Institute for Medical Research, Manhasset, NY.
Semin Ultrasound CT MR. 2022 Apr;43(2):142-146. doi: 10.1053/j.sult.2022.02.003. Epub 2022 Feb 12.
Quantitative analysis of medical images can provide objective tools for diagnosis, prognostication, and disease monitoring. Radiomics refers to automated extraction of a large number of quantitative features from medical images for characterization of underlying pathologies. In this review, we will discuss the principles of radiomics, image preprocessing, feature extraction workflow, and statistical analysis. We will also address the limitations and future directions of radiomics.
医学图像的定量分析可为诊断、预后和疾病监测提供客观工具。放射组学是指从医学图像中自动提取大量定量特征，以对潜在病变进行特征描述。在这篇综述中，我们将讨论放射组学的原理、图像预处理、特征提取工作流程和统计分析。我们还将讨论放射组学的局限性和未来方向。
