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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 …
[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 …
Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome
Tumors exhibit genomic and phenotypic heterogeneity, which has prognostic significance
and may influence response to therapy. Imaging can quantify the spatial variation in …
and may influence response to therapy. Imaging can quantify the spatial variation in …
Radiomics: a new application from established techniques
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …
medicine for patients. Personalized medicine provides better diagnosis and treatment …
ibex: An open infrastructure software platform to facilitate collaborative work in radiomics
Purpose: Radiomics, which is the high‐throughput extraction and analysis of quantitative
image features, has been shown to have considerable potential to quantify the tumor …
image features, has been shown to have considerable potential to quantify the tumor …
Classic models for dynamic contrast‐enhanced MRI
Dynamic contrast‐enhanced MRI (DCE‐MRI) is a functional MRI method where T1‐
weighted MR images are acquired dynamically after bolus injection of a contrast agent. The …
weighted MR images are acquired dynamically after bolus injection of a contrast agent. The …
CAD and AI for breast cancer—recent development and challenges
Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
Quantitative imaging of cancer in the postgenomic era: Radio (geno) mics, deep learning, and habitats
Although cancer often is referred to as “a disease of the genes,” it is indisputable that the
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
Applications for transition-metal chemistry in contrast-enhanced magnetic resonance imaging
Contrast-enhanced magnetic resonance imaging (MRI) is an indispensable tool for
diagnostic medicine. However, safety concerns related to gadolinium in commercial MRI …
diagnostic medicine. However, safety concerns related to gadolinium in commercial MRI …
Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies
About 100 early-phase clinical trials and investigator-led studies of targeted antivascular
therapies—both anti-angiogenic and vascular-targeting agents—have reported data derived …
therapies—both anti-angiogenic and vascular-targeting agents—have reported data derived …