The Chinese University of Hong KongHealthcare Providers · Academic Medical ResearchResearch institution · Department of Computer Science and Engineering
Key People & Companies
The Chinese University of Hong Kong
DCAN
The Chinese University of Hong Kong · Internal
GlaS Challenge
Pheng-Ann Heng
Professor at The Chinese University of Hong Kong
Hao Chen
PhD Student at The Chinese University of Hong Kong
u-net
University of Freiburg · Framework
Nasir M. Rajpoot
University of Warwick
GlaS Challenge Contest
+ 17 more entities in the full study
Key Results
- DCAN won the 2015 MICCAI Gland Segmentation Challenge with a rank sum of 17 out of 13 competitive teams. As the team stated, 'Our method won the 2015 MICCAI Gland Segmentation Challenge out of 13 competitive teams, surpassing all the other methods by a significant margin.'
- Achieved F1 score of 0.912 on Test Part A (benign-dominated) and 0.716 on Test Part B (malignant-dominated), demonstrating robust performance across tissue types.
- Object-level Dice coefficient reached 0.897 on Test Part A and 0.781 on Test Part B, with object-level Hausdorff distance of 45.418 and 160.347 respectively, indicating high boundary accuracy.
- + 4 more results inside
“Our method won the 2015 MICCAI Gland Segmentation Challenge out of 13 competitive teams, surpassing all the other methods by a significant margin.”
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