MIDL Virtual Event Workshop on Medical Data Annotation Practices

The aim of the event is to bring together researchers to explore the complexities of medical dataset annotation through lectures, case study presentations, and discussions. A key focus will be on the importance of high-quality annotations. We will touch upon issues connected to label noise, confounders, and systematic biases, which can compromise model performance. The workshop will highlight how improving annotation processes can help address these issues. By tackling these challenges, the workshop aims to advance best practices, foster collaboration, and drive improvements in medical AI development.

For more information about the timetable and speakers, please have a look at the event page here.