ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics

1 code implementation • CVPR 2022 • Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert

High annotation costs are a substantial bottleneck in applying modern deep learning architectures to clinically relevant medical use cases, substantiating the need for novel algorithms to learn from unlabeled data.

Contrastive Learning