6 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology
Swarnadip Chatterjee, Vladimir Basic, Arrigo Capitanio +2
In computational cytology, detecting malignancy on whole-slide images is difficult because malignant cells are morphologically diverse yet vanishingly rare amid a vast background o…
Lean Unet: A Compact Model for Image Segmentation
Ture Hassler, Ida Åkerholm, Marcus Nordström +2
Unet and its variations have been standard in semantic image segmentation, especially for computer assisted radiology. Current Unet architectures iteratively downsample spatial res…
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Gonglei Shi, Li Xiao, Yang Chen +1
Annotating multiple organs in medical images is both costly and time-consuming; therefore, existing multi-organ datasets with labels are often low in sample size and mostly partial…