Similar Posts
FreeMediSpring
FreeMedispring : un outil de facturation et de prescription électronique entièrement gratuit. La coopérative Medispring a décidé de faciliter l’accès de tous les soignants belges aux outils désormais incontournables dans leur profession, et de mettre gratuitement à leur disposition une partie de son dossier médical. FreeMedispring permet à tout professionnel de la santé sans…
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,…
LiblineaR
LiblineaR is an R package for large-scale linear modeling supporting classification and regression of large datasets. The original software in C/C++ was developed by Prof. Chih-Jen Lin and his team at the Machine Learning Group of the Taiwan University. As most of our developments are done in the open source R language, we have developed the R library LiblineaR, making all the…
TEF-Health
Testing and Experimentation Validation Evaluation Facilities for health ai and robotics
Exploring Foundation Models Fine-Tuning for Cytology Tasks
> Github repository
In this paper, we explore the application of existing foundation models to cytological classification tasks, focusing on low-rank adaptation (LoRA), a parameter-efficient fine-tuning method well-suited to few-shot learning scenarios. We evaluate five foundation models across four cytological classification datasets. Our results demonstrate that fine-tuning the pre-trained backbones with LoRA significantly enhances model performance compared to merely fine-tuning the classifier head, achieving state-of-the-art results on both simple and complex classification tasks while requiring fewer data samples.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…
