Project: Make ClassAnnotation Extension Multi-Label and collaborative

[lorenaromeo]

Draft Status

Ready - team will start page creating immediately

Category

Infrastructure

Key Investigators

• Lorena Romeo (Magna Graecia University of Catanzaro, Italy)
• Ciro Benito Raggio (Karlsruhe Institute of Technology, Germany)
• Maria Francesca Spadea (Karlsruhe Institute of Technology, Germany)
• Paolo Zaffino (Magna Graecia University of Catanzaro, Italy)

Project Description

ClassAnnotation is an extension designed to support users during medical image annotation process and it is able to generate a structured output for AI applications. Currently, the system does not support multiple label per patient; therefore, it's desiderable to implement a Multi-Label module to enable this feature. We would also to investigate an approach to make the annotation task collaborative.

Objective

1. Create Multi-Label module
2. Try to implement a prototype for collaborative annotation

Approach and Plan

1. Gather feedback about ClassAnnotation
2. Create Multi-Label module
3. Discuss about the implementation of a collaboration between annotators

Progress and Next Steps

1. Describe specific steps you have actually done.

Illustrations

Background and References

• Source code: https://github.com/lorenaromeo/SlicerClassAnnotation
• Demo (video): https://drive.google.com/file/d/1aquVa_120tXwTltVutA9tb2mD2o8SCwK/view?usp=sharing

[github-actions]

Project Page Pull Request Creation

✅ COMPLETED: See #1623