A superpixel flood-fill correction on multi-depth CAM pseudo-masks gives 71.08% mIoU on the BCSS breast cancer segmentation benchmark, a small gain over PistoSeg's 70.55%.
Suggestive annotation: A deep active learning framework for biomedical image segmentation
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Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images
A superpixel flood-fill correction on multi-depth CAM pseudo-masks gives 71.08% mIoU on the BCSS breast cancer segmentation benchmark, a small gain over PistoSeg's 70.55%.