Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

YP Zhang, XY Zhang, YT Cheng, B Li, XZ Teng… - Military Medical …, 2023 - Springer
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Radiomics in medical imaging—“how-to” guide and critical reflection

JE Van Timmeren, D Cester, S Tanadini-Lang… - Insights into …, 2020 - Springer
Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …

[PDF][PDF] Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives

JE Park, SY Park, HJ Kim… - Korean journal of …, 2019 - synapse.koreamed.org
Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for develo** and testing medical hypotheses …

Deep learning with radiomics for disease diagnosis and treatment: challenges and potential

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Frontiers in …, 2022 - frontiersin.org
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …

[HTML][HTML] Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods

SA Mali, A Ibrahim, HC Woodruff… - Journal of personalized …, 2021 - mdpi.com
Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

A Ibrahim, S Primakov, M Beuque, HC Woodruff… - Methods, 2021 - Elsevier
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …

Reproducibility of CT radiomic features within the same patient: influence of radiation dose and CT reconstruction settings

M Meyer, J Ronald, F Vernuccio, RC Nelson… - Radiology, 2019 - pubs.rsna.org
Background Results of recent phantom studies show that variation in CT acquisition
parameters and reconstruction techniques may make radiomic features largely …

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform

I Fornacon-Wood, H Mistry, CJ Ackermann… - European …, 2020 - Springer
Objective To investigate the effects of Image Biomarker Standardisation Initiative (IBSI)
compliance, harmonisation of calculation settings and platform version on the statistical …

Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review

C Xue, J Yuan, GG Lo, ATY Chang… - … imaging in medicine …, 2021 - pmc.ncbi.nlm.nih.gov
Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

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 …