无线电技术
计算机科学
像素
人工智能
模式识别(心理学)
特征(语言学)
领域(数学)
医学影像学
特征提取
口译(哲学)
数字化病理学
医学物理学
医学
数学
语言学
哲学
程序设计语言
纯数学
作者
Ali Abbasian Ardakani,Nathalie J. Bureau,Edward J. Ciaccio,U. Rajendra Acharya
标识
DOI:10.1016/j.cmpb.2021.106609
摘要
Radiomics is a newcomer field that has opened new windows for precision medicine. It is related to extraction of a large number of quantitative features from medical images, which may be difficult to detect visually. Underlying tumor biology can change physical properties of tissues, which affect patterns of image pixels and radiomics features. The main advantage of radiomics is that it can characterize the whole tumor non-invasively, even after a single sampling from an image. Therefore, it can be linked to a “digital biopsy”. Physicians need to know about radiomics features to determine how their values correlate with the appearance of lesions and diseases. Indeed, physicians need practical references to conceive of basics and concepts of each radiomics feature without knowing their sophisticated mathematical formulas. In this review, commonly used radiomics features are illustrated with practical examples to help physicians in their routine diagnostic procedures.
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