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.
Eigen-CAM: Visual explanations for deep convolutional neural networks.SN Computer Science, 2(1):47, January 2021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.