Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy)
research. However, the cost, time and effort to achieve this are often a roadblock. We …

Purpose. Besides basic measurements as maximum standardized uptake value (SUV) max
or SUV mean derived from 18F-FDG positron emission tomography (PET) scans, more …

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 …

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 …

Introduction Collecting trial data in a medical environment is at present mostly performed
manually and therefore time-consuming, prone to errors and often incomplete with the complex …

“Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative
imaging features with high throughput from medical images obtained with computed …

Purpose: To compare source-to-background ratio (SBR)-based PET-CT auto-delineation
with pathology in non–small-cell lung cancer (NSCLC) and to investigate whether auto-…

PURPOSE: Accurate contouring of positron emission tomography (PET) functional volumes
is now considered crucial in image-guided radiotherapy and other oncology applications …

Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …

Radiomics is an objective method for extracting quantitative information from medical
images. However, in radiomics, standardization, overfitting, and generalization are major …