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HistoCRF
> Github repository
Assisting pathologists in the analysis of histopathological images has high clinical value, as it supports cancer detection and staging. In this context, histology foundation models have recently emerged. Among them, Vision-Language Models (VLMs) provide strong yet imperfect zero-shot predictions. We propose to refine these predictions by adapting Conditional Random Fields (CRFs) to histopathological applications, requiring no additional model training.Belgian Health Data Agency (HDA)
For better Healthcare, Research & Policy Making
Parrot
PARROT, which stands for Platform for ARtificial intelligence guided Radiation Oncology Treatment, is a user-friendly, free, and open-source web platform. It allows users to visualize DICOM files, run AI models, display and evaluate predictions easily. The platform includes several trained state-of-the-art dose prediction and contour segmentation models. Users can also add their own models using…
Hercule
The use of data sciences in biomanufacturing routine operations and process improvement can help companies improve their bottom line and remain competitive in a dynamic market, with positive impact on sustainability. Hercule is a technology platform composed of a software suite and a set of services, successfully applied on more than 25 processes so far. Hercule software is composed of a series of modules, for biomanufacturing data structuring, day-to-day…
OpenTPS
OpenTPS is an open-source treatment planning system (TPS) for research in radiation therapy and proton therapy. It was developed in Python with a special focus on simplifying contribution to the core functions to let the user develop their own features. It contains a variety of treatment planification and evaluation methods, as well as image processing and…
Orthanc
Orthanc est un écosystème libre et open-source destiné à la gestion et au partage d’images médicales. Orthanc implémente le standard international DICOM qui régule l’imagerie médicale numérique dans tout établissement de santé. Cela permet à Orthanc de recevoir, de stocker et de transmettre des images en provenance de n’importe quel équipement de radiologie (scanners, IRM,…
