We’re looking for a way to version and catalogue self-trained deep learning models (training data, code revision, etc.) from our Tissue-Concepts family of medical foundation models.

We’ve briefly looked at #W&B, #MLflow (now integrated into GitLab), and intensely tried storing more-or-less-documented model snapshots to disk.

Has anyone had good or bad experiences with these tools in research / medical ML settings? Any recommendations?

#ComputationalPathology #datascience #deeplearning

Project announcement 🏗️: "PROSurvival" builds a collaborative federated learning framework to predict survival in prostate cancer patients.

Partners are OFFIS - Institute for Information Technology, Charité, Goethe University Frankfurt, and Fraunhofer MEVIS.

Here's the gist: In the long run, we want to find predictive image features that can be identified in tissue sections from routine diagnostics.

#federatedlearning #ai #foundationmodels #ComputationalPathology

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