HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images

16 Dec 2018Simon GrahamQuoc Dang VuShan E Ahmed RazaAyesha AzamYee Wah TsangJin Tae KwakNasir Rajpoot

Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow. The development of automated methods for nuclear segmentation and classification enables the quantitative analysis of tens of thousands of nuclei within a whole-slide pathology image, opening up possibilities of further analysis of large-scale nuclear morphometry... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Multi-tissue Nucleus Segmentation Kumar HoVer-Net (e) Dice 0.826 # 1
Hausdorff Distance (mm) 59.7 # 2

Methods used in the Paper


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