Datasets:
Tasks:
Image Segmentation
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
< 1K
License:
Update README.md
Browse files
README.md
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## Citation
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```bibtex
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@article{8880654,
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title={A Multi-Organ Nucleus Segmentation Challenge},
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keywords={Image segmentation;Pathology;Image color analysis;Semantics;Machine learning algorithms;Task analysis;Deep learning;Multi-organ;nucleus segmentation;digital pathology;instance segmentation;aggregated Jaccard index},
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doi={10.1109/TMI.2019.2947628}
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}
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```
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```bibtex
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@article{kumar2017dataset,
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title={A dataset and a technique for generalized nuclear segmentation for computational pathology},
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author={Kumar, Neeraj and Verma, Ruchika and Sharma, Sanuj and Bhargava, Surabhi and Vahadane, Abhishek and Sethi, Amit},
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journal={IEEE transactions on medical imaging},
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volume={36},
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number={7},
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pages={1550--1560},
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year={2017},
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publisher={IEEE}
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}
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```
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## Citation
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```bibtex
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@article{kumar2017dataset,
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title={A dataset and a technique for generalized nuclear segmentation for computational pathology},
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author={Kumar, Neeraj and Verma, Ruchika and Sharma, Sanuj and Bhargava, Surabhi and Vahadane, Abhishek and Sethi, Amit},
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journal={IEEE transactions on medical imaging},
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volume={36},
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number={7},
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pages={1550--1560},
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year={2017},
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publisher={IEEE}
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}
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```
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```bibtex
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@article{8880654,
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title={A Multi-Organ Nucleus Segmentation Challenge},
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keywords={Image segmentation;Pathology;Image color analysis;Semantics;Machine learning algorithms;Task analysis;Deep learning;Multi-organ;nucleus segmentation;digital pathology;instance segmentation;aggregated Jaccard index},
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doi={10.1109/TMI.2019.2947628}
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}
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```
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