What’s Next: Technological Advancement for AI in Radiology On the horizon
Date:
Presented selected topics about recent technological advancements in the field of artificial intelligence in radiology. The following areas were presented:
- Transformers: Closing the Gap between Natural Language Processing (NLP) and Computer Vision (CV) in Medical Image Computing
- Semi-Supervised Learning: How to learn from unlabelled Data?
- Federated Learning: Big Data without Data Transfer
- Generalisation to new data sets via self-configuring methods