Before revision:  However, the prognostic value of traditional radiomics pipelines, which are based on hand-crafted radiomic features alone , is limiteddue to multicollinearity of features and multiple testing problem, and limited performance of conventional machine learning classifiers. Deep learning architectures, such as convolutional neural networks (CNNs) , have been shown to outperform traditional techniques in computer vision tasks , such as object detection .
After revision:  However, the prognostic value of traditional radiomics pipelines, which are based on hand-crafted radiomic features alone is limited. Convolutional neural networks (CNNs) , have been shown to outperform traditional techniques in computer vision tasks , such as object detection .