Joint Learning of Localized Representations from Medical Images and Reports

Philip Müller, Georgios Kaissis, Congyu Zou +1

Contrastive learning has proven effective for pre-training image models on unlabeled data with promising results for tasks such as medical image classification. Using paired text (…