3 papers
cs.CV2026
Foundation model embeddings capture pre-diagnostic changes on screening mammograms
Kalina P. Slavkova, Eric Brattain, Aditya Gowd +6
Foundation model embeddings of screening mammograms may encode pre-diagnostic tissue change without task-specific adaptation. We tested whether embeddings move faster along a data-…
eess.IV2026
Reconfigurable Radiology Labels Without Relabeling
Jean-Benoit Delbrouck, Dave Van Veen, Akash Pattnaik +4
Public chest-radiograph (CXR) datasets are typically released with small, fixed label schemas such as CheXpert-14. However, the underlying free-text reports describe far more findi…
cs.CL2025
RadEval: A framework for radiology text evaluation
Justin Xu, Xi Zhang, Javid Abderezaei +9
We introduce RadEval, a unified, open-source framework for evaluating radiology texts. RadEval consolidates a diverse range of metrics, from classic n-gram overlap (BLEU, ROUGE) an…