Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

6 Apr 2020Simon GrahamDavid EpsteinNasir Rajpoot

Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear. However, this rotational symmetry is not widely utilised as prior knowledge in modern Convolutional Neural Networks (CNNs), resulting in data hungry models that learn independent features at each orientation... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Colorectal Gland Segmentation: CRAG DSF-CNN (C8) F1-score 0.874 # 1
Dice 0.891 # 1
Hausdorff Distance (mm) 138.4 # 14
Multi-tissue Nucleus Segmentation Kumar DSF-CNN (C8) Dice 0.826 # 1
Hausdorff Distance (mm) 60 # 1
Breast Tumour Classification PCam DSF-CNN (C8) AUC 0.975 # 1

Methods used in the Paper


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