The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images

Philip Müller, Georgios Kaissis, Daniel Rueckert

Image-text contrastive learning has proven effective for pretraining medical image models. When targeting localized downstream tasks like semantic segmentation or object detection,…