Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion

International Joint Conference on Artificial Intelligence (IJCAI-19) 2019 Dongnan LiuDonghao ZhangYang SongChaoyi ZhangFan ZhangLauren O’DonnellWeidong Cai

Automated detection and segmentation of individual nuclei in histopathology images is important for cancer diagnosis and prognosis. Due to the high variability of nuclei appearances and numerous overlapping objects, this task still remains challenging... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Nuclear Segmentation Cell17 Deep Panoptic Model with Semantic Feature Fusion F1-score 0.8645 # 1
Dice 0.7506 # 1
Hausdorff 9.5832 # 1

Methods used in the Paper


METHOD TYPE
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