Machine Learning Method Identifies Precancerous Colon Polyps (IMAGE) Radiological Society of North America Caption The radiomics workflow comprised three steps: manual segmentation of colorectal polyps in multiplanar two-dimensional CT colonography images; image filtering and feature extraction characterizing shape, histogram statistics, or texture; and feature-based training of a random forest classification algorithm to differentiate between benign and premalignant colorectal polyps according to the histopathologic reference standard. Credit Radiological Society of North America Usage Restrictions May use with credit. License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.