Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images

Combining classical radiomics and autoencoder-based features extracted from tumor bounding boxes improves US-based categorization of benign and malignant breast tumors compared with segmentation-based approaches.