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Interactive lesion segmentation can now adaptively refine predictions in real-time, significantly improving accuracy in heterogeneous PET/CT datasets.
ClinRAG-GRAPH achieves impressive pCR prediction accuracy while ensuring interpretability and robustness against imaging biases across multiple centers.
Synthesized breast MRIs can now better mimic real-world lesion complexity thanks to a diffusion model that explicitly handles multi-scale features and heterogeneous enhancement.
Breast cancer risk prediction from MRI just got a whole lot faster and more interpretable, thanks to a novel 2.5D approach that beats both 2D and 3D models.