MRI-derived radiomics: methodology and clinical applications in the field of pelvic oncology
U Schick, F Lucia, G Dissaux, D Visvikis… - The British journal of …, 2019 - academic.oup.com
Personalized medicine aims at offering optimized treatment options and improved survival
for cancer patients based on individual variability. The success of precision medicine …
for cancer patients based on individual variability. The success of precision medicine …
[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
Radiogenomics: a key component of precision cancer medicine
Z Liu, T Duan, Y Zhang, S Weng, H Xu, Y Ren… - British Journal of …, 2023 - nature.com
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …
has been widely applied to address tumour heterogeneity and predict immune …
Inconsistent partitioning and unproductive feature associations yield idealized radiomic models
Background Radiomics is the extraction of predefined mathematic features from medical
images for the prediction of variables of clinical interest. While some studies report …
images for the prediction of variables of clinical interest. While some studies report …
Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges
Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …
of a large variety of features from medical images. In the field of radiation oncology …
[HTML][HTML] Radiomics: extracting more information from medical images using advanced feature analysis
Solid cancers are spatially and temporally heterogeneous. This limits the use of invasive
biopsy based molecular assays but gives huge potential for medical imaging, which has the …
biopsy based molecular assays but gives huge potential for medical imaging, which has the …
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
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 …
Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research
Purpose Radiomics is a growing field of image quantitation, but it lacks stable and high‐
quality software systems. We extended the capabilities of the Computational Environment for …
quality software systems. We extended the capabilities of the Computational Environment for …
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Multiomics data including imaging radiomics and various types of molecular biomarkers
have been increasingly investigated for better diagnosis and therapy in the era of precision …
have been increasingly investigated for better diagnosis and therapy in the era of precision …