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 …
existing data available to clinicians by means of advanced mathematical analysis. Through …
Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods
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 …
quantitative features used for clinical decision support. However, these radiomic features are …
[HTML][HTML] Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review
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 …
reliability are also raised. This review attempts to update and overview the current status of …
Radiomics feature robustness as measured using an MRI phantom
Radiomics involves high-throughput extraction of large numbers of quantitative features from
medical images and analysis of these features to predict patients' outcome and support …
medical images and analysis of these features to predict patients' outcome and support …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications
R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
[PDF][PDF] Radiomics in PET imaging: a practical guide for newcomers
Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
[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 …
[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
M Ferreira, P Lovinfosse, J Hermesse… - European Journal of …, 2021 - Springer
Purpose To test the performances of native and tumour to liver ratio (TLR) radiomic features
extracted from pre-treatment 2-[18 F] fluoro-2-deoxy-D-glucose ([18 F] FDG) PET/CT and …
extracted from pre-treatment 2-[18 F] fluoro-2-deoxy-D-glucose ([18 F] FDG) PET/CT and …
Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging
An array of artificial intelligence (AI) techniques in the field of medical imaging has emerged
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …