Radiomics: the bridge between medical imaging and personalized medicine
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …
medical imaging that enables data to be extracted and applied within clinical-decision …
[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 …
Radiomics: images are more than pictures, they are data
In the past decade, the field of medical image analysis has grown exponentially, with an
increased number of pattern recognition tools and an increase in data set sizes. These …
increased number of pattern recognition tools and an increase in data set sizes. These …
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Cancer Genome Atlas Research Network Tissue … - Nature, 2008 - nature.com
Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide
substitutions and epigenetic modifications that drive malignant transformation. The Cancer …
substitutions and epigenetic modifications that drive malignant transformation. The Cancer …
Applications and limitations of radiomics
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …
Radiomics: the process and the challenges
“Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative
imaging features with high throughput from medical images obtained with computed …
imaging features with high throughput from medical images obtained with computed …
Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
M Vallières, CR Freeman, SR Skamene… - Physics in Medicine & …, 2015 - iopscience.iop.org
This study aims at develo** a joint FDG-PET and MRI texture-based model for the early
evaluation of lung metastasis risk in soft-tissue sarcomas (STSs). We investigate if the …
evaluation of lung metastasis risk in soft-tissue sarcomas (STSs). We investigate if the …
[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …
discipline that maps digital medical images into quantitative data, with the end goal of …