Datasets:
Tasks:
Image Segmentation
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
< 1K
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -86,6 +86,19 @@ The dataset is organized into `train` and `test` splits, consistent with the ori
|
|
| 86 |
|
| 87 |
## Citation
|
| 88 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 89 |
```bibtex
|
| 90 |
@article{8880654,
|
| 91 |
title={A Multi-Organ Nucleus Segmentation Challenge},
|
|
@@ -98,17 +111,4 @@ The dataset is organized into `train` and `test` splits, consistent with the ori
|
|
| 98 |
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},
|
| 99 |
doi={10.1109/TMI.2019.2947628}
|
| 100 |
}
|
| 101 |
-
```
|
| 102 |
-
|
| 103 |
-
```bibtex
|
| 104 |
-
@article{kumar2017dataset,
|
| 105 |
-
title={A dataset and a technique for generalized nuclear segmentation for computational pathology},
|
| 106 |
-
author={Kumar, Neeraj and Verma, Ruchika and Sharma, Sanuj and Bhargava, Surabhi and Vahadane, Abhishek and Sethi, Amit},
|
| 107 |
-
journal={IEEE transactions on medical imaging},
|
| 108 |
-
volume={36},
|
| 109 |
-
number={7},
|
| 110 |
-
pages={1550--1560},
|
| 111 |
-
year={2017},
|
| 112 |
-
publisher={IEEE}
|
| 113 |
-
}
|
| 114 |
```
|
|
|
|
| 86 |
|
| 87 |
## Citation
|
| 88 |
|
| 89 |
+
```bibtex
|
| 90 |
+
@article{kumar2017dataset,
|
| 91 |
+
title={A dataset and a technique for generalized nuclear segmentation for computational pathology},
|
| 92 |
+
author={Kumar, Neeraj and Verma, Ruchika and Sharma, Sanuj and Bhargava, Surabhi and Vahadane, Abhishek and Sethi, Amit},
|
| 93 |
+
journal={IEEE transactions on medical imaging},
|
| 94 |
+
volume={36},
|
| 95 |
+
number={7},
|
| 96 |
+
pages={1550--1560},
|
| 97 |
+
year={2017},
|
| 98 |
+
publisher={IEEE}
|
| 99 |
+
}
|
| 100 |
+
```
|
| 101 |
+
|
| 102 |
```bibtex
|
| 103 |
@article{8880654,
|
| 104 |
title={A Multi-Organ Nucleus Segmentation Challenge},
|
|
|
|
| 111 |
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},
|
| 112 |
doi={10.1109/TMI.2019.2947628}
|
| 113 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 114 |
```
|