Computational Radiomics System to Decode the Radiographic Phenotype.

ABSTRACT: Radiomics aims to quantify phenotypic characteristics on medical imaging through the use of automated algorithms. Radiomic artificial intelligence (AI) technology, either based on engineered hard-coded algorithms or deep learning methods, can be used to develop noninvasive imaging-based biomarkers. However, lack of standardized algorithm definitions and image processing severely hampers reproducibility and comparability of results. To address this issue, we developed PyRadiomics, a flexible open-source platform capable of extracting a large panel of engineered features from medical images. PyRadiomics is implemented in Python and can be used standalone or using 3D Slicer. Here, we discuss the workflow and architecture of PyRadiomics and demonstrate its application in c

SUBMITTER: van Griethuysen JJM 

PROVIDER: S-EPMC5672828 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature