Volume Bias in Textural Radiomics

Radiomics and Deep Learning

Radiomics: Current Challenges in Clinical Validation

Radiomics can be defined as the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with various modalities [1]. Radiomics methods can be applied across various cancers to identify tumor phenotype characteristics in the images that correlate with their likelihood of survival, as well as their association with the u...

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 recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe ...

Excess significance bias in the literature on brain volume abnormalities.

CONTEXT Many studies report volume abnormalities in diverse brain structures in patients with various mental health conditions. OBJECTIVE To evaluate whether there is evidence for an excess number of statistically significant results in studies of brain volume abnormalities that suggest the presence of bias in the literature. DATA SOURCES PubMed (articles published from January 2006 to Dece...

Textural crossfader

A LapBox derivative, the Textural Crossfader is a keyboardbased embedded acoustic instrument, which sits comfortably across the performer s lap and radiates sound out of integrated stereo speakers. The performer controls the sound by manipulating the keys on a pair of mini-keyboard interfaces. A unique one-to-one mapping enables the performer to precisely crossfade among a set of looped audio w...