Interpretation of radiomics features–A pictorial review
Article
Ardakani, Ali Abbasian, Bureau, Nathalie J, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Interpretation of radiomics features–A pictorial review." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2021.106609
Article Title | Interpretation of radiomics features–A pictorial review |
---|---|
ERA Journal ID | 5039 |
Article Category | Article |
Authors | Ardakani, Ali Abbasian, Bureau, Nathalie J, Ciaccio, Edward J. and Acharya, U. Rajendra |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 215 |
Article Number | 106609 |
Number of Pages | 19 |
Year | 2022 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2021.106609 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0169260721006830 |
Abstract | 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. |
Keywords | Artificial intelligence; Personalized medicine; Radiomics; Texture analysis; Machine learning |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Shahid Beheshti University of Medical Sciences, Iran |
University of Montreal Hospital, Canada | |
Columbia University, United States | |
Taylor's University, Malaysia | |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore | |
Asia University, Taiwan |
Permalink -
https://research.usq.edu.au/item/z1v43/interpretation-of-radiomics-features-a-pictorial-review
58
total views0
total downloads8
views this month0
downloads this month