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@@ -86,6 +86,19 @@ The dataset is organized into `train` and `test` splits, consistent with the ori
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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},
@@ -98,17 +111,4 @@ The dataset is organized into `train` and `test` splits, consistent with the ori
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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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-
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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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+
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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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  ```