Datasets:
				
			
			
	
			
			
	
		
		Upload README_0005_bcv_abdomen.md
Browse files
    	
        0005_bcv_abdomen/README_0005_bcv_abdomen.md
    ADDED
    
    | @@ -0,0 +1,47 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            # MICCAI Multi-Atlas Labeling Beyond the Cranial Vault (Abdomen)
         | 
| 2 | 
            +
             | 
| 3 | 
            +
            ## License
         | 
| 4 | 
            +
            **CC BY 4.0**  
         | 
| 5 | 
            +
            [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/)
         | 
| 6 | 
            +
             | 
| 7 | 
            +
            ## Citation
         | 
| 8 | 
            +
            Paper BibTeX:
         | 
| 9 | 
            +
            ```bibtex
         | 
| 10 | 
            +
            @inproceedings{landman2015miccai,
         | 
| 11 | 
            +
              title={Miccai multi-atlas labeling beyond the cranial vault--workshop and challenge},
         | 
| 12 | 
            +
              author={Landman, Bennett and Xu, Zhoubing and Igelsias, Juan and Styner, Martin and Langerak, Thomas and Klein, Arno},
         | 
| 13 | 
            +
              booktitle={Proc. MICCAI multi-atlas labeling beyond cranial vault—workshop challenge},
         | 
| 14 | 
            +
              volume={5},
         | 
| 15 | 
            +
              pages={12},
         | 
| 16 | 
            +
              year={2015},
         | 
| 17 | 
            +
              organization={Munich, Germany}
         | 
| 18 | 
            +
            }
         | 
| 19 | 
            +
            ```
         | 
| 20 | 
            +
             | 
| 21 | 
            +
             | 
| 22 | 
            +
            ## Dataset description
         | 
| 23 | 
            +
            This workshop and challenge extended multi-atlas labeling methods beyond the brain to clinically acquired abdominal CT. Fifty portal venous phase scans were selected under IRB supervision from colorectal cancer and ventral hernia study cohorts, providing a standardized dataset to benchmark abdominal anatomy segmentation.
         | 
| 24 | 
            +
             | 
| 25 | 
            +
            **Challenge homepage**: https://www.synapse.org/Synapse:syn3193805/wiki/89480
         | 
| 26 | 
            +
             | 
| 27 | 
            +
            **Number of CT volumes**: 50
         | 
| 28 | 
            +
             | 
| 29 | 
            +
            **Contrast**: Contrast-enhanced (portal venous phase)
         | 
| 30 | 
            +
             | 
| 31 | 
            +
            **CT body coverage**: Abdomen
         | 
| 32 | 
            +
             | 
| 33 | 
            +
            **Does the dataset include any ground truth annotations?**: Yes
         | 
| 34 | 
            +
             | 
| 35 | 
            +
            **Original GT annotation targets**: Spleen, right kidney, left kidney, gallbladder, esophagus, liver, stomach, aorta, inferior vena cava, portal vein and splenic vein, pancreas, right adrenal gland, left adrenal gland
         | 
| 36 | 
            +
             | 
| 37 | 
            +
            **Number of annotated CT volumes**: 30
         | 
| 38 | 
            +
             | 
| 39 | 
            +
            **Annotator**: Human
         | 
| 40 | 
            +
             | 
| 41 | 
            +
            **Acquisition centers**: Vanderbilt University Medical Center (VUMC)
         | 
| 42 | 
            +
             | 
| 43 | 
            +
            **Pathology/Disease**: Colorectal cancer and ventral hernia cases
         | 
| 44 | 
            +
             | 
| 45 | 
            +
            **Original dataset download link**: https://www.synapse.org/Synapse:syn3193805/files/
         | 
| 46 | 
            +
             | 
| 47 | 
            +
            **Original dataset format**: nifti
         |