Hide-and-Seek Attribution combined with a diffusion autoencoder converts coarse vertebra-level labels into accurate lytic and blastic lesion segmentations, reaching F1 scores of 0.91 and 0.85 without any mask supervision.
Deep learning to differentiate benign and malignant vertebral fractures at multidetector ct.Radiology, 310(3):e231429, 2024
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Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT
Hide-and-Seek Attribution combined with a diffusion autoencoder converts coarse vertebra-level labels into accurate lytic and blastic lesion segmentations, reaching F1 scores of 0.91 and 0.85 without any mask supervision.