再现性
计算机科学
理论(学习稳定性)
机器学习
色谱法
化学
作者
Ahmad Chaddad,Xun Liang
出处
期刊:IEEE transactions on radiation and plasma medical sciences
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-1
标识
DOI:10.1109/trpms.2024.3365778
摘要
Radiomics is a progressive field aiming to quantitatively assess the diversity within and between tumors using image analysis. It holds tremendous promise for tracking tumor treatment progress over time. This review summarizes recent advances in ensuring the stability, repeatability, and reproducibility of radiomic analyses. It covers various factors influencing the radiomics process and potential variables that can affect stability. The study also proposes strategies to enhance the reliability of both radiomic features and models. Additionally, we highlight the importance of stability in each radiomic phase to achieve the cut-off stable model. Moreover, we discuss the details of using the Radiomics Quality Score (RQS) to evaluate radiomics research, guiding researchers in formulating reasonable research designs to promote more stable radiomic models.
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