Web: http://arxiv.org/abs/2205.05841

May 13, 2022, 1:10 a.m. | Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

cs.CV updates on arXiv.org arxiv.org

Trained using only image class label, deep weakly supervised methods allow
image classification and ROI segmentation for interpretability. Despite their
success on natural images, they face several challenges over histology data
where ROI are visually similar to background making models vulnerable to high
pixel-wise false positives. These methods lack mechanisms for modeling
explicitly non-discriminative regions which raises false-positive rates. We
propose novel regularization terms, which enable the model to seek both
non-discriminative and discriminative regions, while discouraging unbalanced
segmentations and …

arxiv classification deep images segmentation uncertainty

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