Kidney Boundary Data 2017
The Kidney Boundary Data 2017 focuses on the detection of kidney boundaries in medical imaging, providing a dataset for training and evaluating segmentation algorithms. This data was initially shared as part of the EndoVis Sub-Challenge 2017.
Kidney Boundary Data 2017
Data Set Description
- Type: Medical Imaging
- Number of Instances: 100 annotated images
- Number of Variables: Not applicable (image data)
- Attribute Characteristics: Quantitative (pixel values)
- Date Published: 2017
- Associated Tasks: Segmentation, Boundary Detection
Source code and data are available for download under appropriate licensing.
Data Set Characteristics
| Characteristic | Details |
|---|---|
| Type | Medical Imaging |
| Number of Instances | 100 annotated images |
| Number of Variables | Not applicable |
| Attribute Characteristics | Pixel values (quantitative) |
| Date Published | 2017 |
| Associated Tasks | Segmentation, Edge Detection |
Publications
Arnold, M., Speidel, S., & Hattab, G. (2021). Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm. BMC Medical Imaging, 21, 1-9. doi.org/10.1186/s12880-021-00650-z.
Hattab, G., Arnold, M., Strenger, L., Allan, M., Arsentjeva, D., Gold, O., Simpfendörfer, T., Maier-Hein, L., & Speidel, S. (2020). Kidney edge detection in laparoscopic image data for computer-assisted surgery : Kidney edge detection. International journal of computer assisted radiology and surgery, 15(3), 379–387. doi.org/10.1007/s11548-019-02102-0.
Data Variables
- Image Data: Pixel values representing kidney boundaries.
- Annotations: Ground truth segmentation masks.
Licensing
Original data available under the appropriate licensing terms provided on the EndoVis Sub-Challenge 2017 website. All source code and label data are open-source and available for modification under the Creative Commons License CC BY 4.0.