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.
Unsupervised abnormality segmentation in chest ct with anatomy-guided latent diffusion model and adaptive thresholding
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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.