Harmonization strategies for multicenter radiomics investigations
Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …
[HTML][HTML] Introduction to radiomics for a clinical audience
C McCague, S Ramlee, M Reinius, I Selby, D Hulse… - Clinical Radiology, 2023 - Elsevier
Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …
features from medical images, thus converting these digital images into minable, high …
[HTML][HTML] Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
JRF Junior, M Koenigkam-Santos, FEG Cipriano… - Computer methods and …, 2018 - Elsevier
Background and Objectives: lung cancer is the leading cause of cancer-related deaths in the
world, and its poor prognosis varies markedly according to tumor staging. Computed …
world, and its poor prognosis varies markedly according to tumor staging. Computed …
Imaging biomarker analysis of advanced multiparametric MRI for glioma grading
Aims and objectives To investigate the value of advanced multiparametric MR imaging
biomarker analysis based on radiomic features and machine learning classification, in the …
biomarker analysis based on radiomic features and machine learning classification, in the …
Deep learning and vision transformer for medical image analysis
Artificial intelligence (AI) refers to the field of computer science theory and technology [1] that
is focused on creating intelligent machines capable of simulating human intelligence [2]. AI …
is focused on creating intelligent machines capable of simulating human intelligence [2]. AI …
Radiomics: A primer for the radiation oncologist
Purpose Radiomics are a set of methods used to leverage medical imaging and extract
quantitative features that can characterize a patient's phenotype. All modalities can be used …
quantitative features that can characterize a patient's phenotype. All modalities can be used …
Post-radiochemotherapy PET radiomics in head and neck cancer–the influence of radiomics implementation on the reproducibility of local control tumor models
M Bogowicz, RTH Leijenaar, S Tanadini-Lang… - Radiotherapy and …, 2017 - Elsevier
Purpose This study investigated an association of post-radiochemotherapy (RCT) PET
radiomics with local tumor control in head and neck squamous cell carcinoma (HNSCC) and …
radiomics with local tumor control in head and neck squamous cell carcinoma (HNSCC) and …
Lung tumor segmentation methods: impact on the uncertainty of radiomics features for non-small cell lung cancer
Purpose To evaluate the uncertainty of radiomics features from contrast-enhanced breath-
hold helical CT scans of non-small cell lung cancer for both manual and semi-automatic …
hold helical CT scans of non-small cell lung cancer for both manual and semi-automatic …
Random forest dissimilarity based multi-view learning for radiomics application
Radiomics is a medical imaging technique that aims at extracting a large amount of features
from one or several modalities of medical images, in order to help diagnose and treat …
from one or several modalities of medical images, in order to help diagnose and treat …
[HTML][HTML] Towards precision medicine: from quantitative imaging to radiomics
Radiology (imaging) and imaging-guided interventions, which provide multi-parametric
morphologic and functional information, are playing an increasingly significant role in …
morphologic and functional information, are playing an increasingly significant role in …