[HTML][HTML] Vulnerabilities of radiomic signature development: the need for safeguards
Purpose Refinement of radiomic results and methodologies is required to ensure
progression of the field. In this work, we establish a set of safeguards designed to improve …
progression of the field. In this work, we establish a set of safeguards designed to improve …
[HTML][HTML] Machine learning helps identifying volume-confounding effects in radiomics
Purpose Highlighting the risk of biases in radiomics-based models will help improve their
quality and increase usage as decision support systems in the clinic. In this study we use …
quality and increase usage as decision support systems in the clinic. In this study we use …
[HTML][HTML] A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
Abstract Background and Purpose Although quantitative image biomarkers (radiomics)
show promising value for cancer diagnosis, prognosis, and treatment assessment, these …
show promising value for cancer diagnosis, prognosis, and treatment assessment, these …
Reproducibility of radiomics for deciphering tumor phenotype with imaging
Radiomics (radiogenomics) characterizes tumor phenotypes based on quantitative image
features derived from routine radiologic imaging to improve cancer diagnosis, prognosis …
features derived from routine radiologic imaging to improve cancer diagnosis, prognosis …
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer
Radiomics provides a comprehensive quantification of tumor phenotypes by extracting and
mining large number of quantitative image features. To reduce the redundancy and compare …
mining large number of quantitative image features. To reduce the redundancy and compare …
Radiomics in oncology: a practical guide
Radiomics refers to the extraction of mineable data from medical imaging and has been
applied within oncology to improve diagnosis, prognostication, and clinical decision support …
applied within oncology to improve diagnosis, prognostication, and clinical decision support …
[HTML][HTML] Repeatability and reproducibility of radiomic features: a systematic review
Purpose An ever-growing number of predictive models used to inform clinical decision
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …
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 …
Understanding sources of variation to improve the reproducibility of radiomics
B Zhao - Frontiers in oncology, 2021 - frontiersin.org
Radiomics is the method of choice for investigating the association between cancer imaging
phenotype, cancer genotype and clinical outcome prediction in the era of precision …
phenotype, cancer genotype and clinical outcome prediction in the era of precision …
Feature selection methods and predictive models in CT lung cancer radiomics
G Ge, J Zhang - Journal of applied clinical medical physics, 2023 - Wiley Online Library
Radiomics is a technique that extracts quantitative features from medical images using data‐
characterization algorithms. Radiomic features can be used to identify tissue characteristics …
characterization algorithms. Radiomic features can be used to identify tissue characteristics …