Background Radiomics is a method within medical image analysis that involves the
extraction of quantitative data from radiologic scans, often in conjunction with machine …

Translation of radiomics into clinical practice requires confidence in its interpretations. This
may be obtained via understanding and overcoming the limitations in current radiomic …

Texture analysis for lung lesions is sensitive to changing imaging conditions but these
effects are not well understood, in part, due to a lack of ground-truth phantoms with realistic …

Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …

Objectives Radiomics utilizes quantitative image features (QIFs) to characterize tumor
phenotype. In practice, radiological images are obtained from different vendors' equipment …

Radiology: Volume 291: Number 1—April 2019 n radiology. rsna. org 61 of the image, with
additional quantitative information that can provide functional and prospective information …

Radiomics has shown promise in improving models for predicting patient outcomes.
However, to maximize the information gain of the radiomics features, especially in larger …

Chest CT scans are one of the most common medical imaging procedures. The automatic
extraction and quantification of imaging features may help in diagnosis, prognosis of, or …

Radiomics aims for ways to personalize patient's treatments based on the extraction of
texture features from routine clinical images. However, the implementation of Radiomics …

Radiomics is a technique that extracts quantitative features from medical images using data‐
characterization algorithms. Radiomic features can be used to identify tissue characteristics …