Although deep convolutional neural network has shown encouraging performance regarding lesion classification, it is limited due to the high requirement of data labeling. In this study, we attempted to improve the recognition performance under limited labeled data using generated data for lumbar intervertebral disc herniation classification.
This abstract and the presentation materials are available to members only; a login is required.