The biological meaning of radiomic features
MR Tomaszewski, RJ Gillies - Radiology, 2021 - pubs.rsna.org
Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …
from radiologic imaging. Radiomics can be used to predict patient outcome through …
[HTML][HTML] Radiomics analysis for clinical decision support in nuclear medicine
Radiomics–the high-throughput computation of quantitative image features extracted from
medical imaging modalities-can be used to aid clinical decision support systems in order to …
medical imaging modalities-can be used to aid clinical decision support systems in order to …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
Radiomics: the bridge between medical imaging and personalized medicine
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …
medical imaging that enables data to be extracted and applied within clinical-decision …
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
Background Radiomic features may quantify characteristics present in medical imaging.
However, the lack of standardized definitions and validated reference values have …
However, the lack of standardized definitions and validated reference values have …
Radiomics: data mining using quantitative medical image features
MPA Starmans, SR van der Voort, JMC Tovar… - Handbook of medical …, 2020 - Elsevier
Radiomics uses multiple image features from medical imaging data to predict clinical
variables. Various features can be constructed to describe the properties of the full image, or …
variables. Various features can be constructed to describe the properties of the full image, or …
[HTML][HTML] How to develop a meaningful radiomic signature for clinical use in oncologic patients
N Papanikolaou, C Matos, DM Koh - Cancer Imaging, 2020 - Springer
During the last decade, there is an increasing usage of quantitative methods in Radiology in
an effort to reduce the diagnostic variability associated with a subjective manner of …
an effort to reduce the diagnostic variability associated with a subjective manner of …
Radiomics: images are more than pictures, they are data
In the past decade, the field of medical image analysis has grown exponentially, with an
increased number of pattern recognition tools and an increase in data set sizes. These …
increased number of pattern recognition tools and an increase in data set sizes. These …
Radiomics: a primer on high-throughput image phenotyping
Radiomics is a high-throughput approach to image phenotyping. It uses computer
algorithms to extract and analyze a large number of quantitative features from radiological …
algorithms to extract and analyze a large number of quantitative features from radiological …
Machine learning in medical imaging
ML Giger - Journal of the American College of Radiology, 2018 - Elsevier
Advances in both imaging and computers have synergistically led to a rapid rise in the
potential use of artificial intelligence in various radiological imaging tasks, such as risk …
potential use of artificial intelligence in various radiological imaging tasks, such as risk …