- Duration: January, 2024 – December, 2024
- Collaboration Partner: Google
- Research topics: Medical Image Analysis, Machine Learning & Deep Learning, Human-Machine-Interaction
We develop a modularized active learning framework within the Google Cloud Platform, facilitating large-scale medical image annotation in a cost-effective manner while ensuring data sovereignty and privacy. Our work emphasizes a federated learning use case for healthcare data, taking into consideration data protection and security aspects. Our goal is to create an end-to-end platform for efficient annotation that benefits both clinicians and the research community.
![](https://medicalcps.dfki.de/wp-content/uploads/2024/04/Image_google_dfki_IML_project-1024x739.jpg)
Hasan Md Tusfiqur Alam (left) and Md Abdul Kadir from IML with their architecture for the GCP Project
Sponsored by
![](https://medicalcps.dfki.de/wp-content/uploads/2024/04/grafik.png)