无线电技术
计算机科学
医学物理学
领域(数学)
放射基因组学
精密医学
个性化医疗
医学影像学
癌症影像学
数据科学
人工智能
医学
癌症
生物信息学
病理
生物
数学
内科学
纯数学
作者
Stephen Yip,Hugo J.W.L. Aerts
标识
DOI:10.1088/0031-9155/61/13/r150
摘要
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe applications and challenges of the radiomic field. We will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
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