Dataset Restricted Access
The EndoAbS Dataset (Endoscopic Abdominal Stereo Images Dataset) aims to provide to the computer assisted surgery community a dataset for the validation of 3D reconstruction algorithms.
It is composed of:
- 120 pair of endoscopic stereo images of abdominal organs (liver, kidneys, spleen);
- corresponding ground truth in left-camera reference frame, generated using a laser scanner;
- camera calibration parameters;
The images were captured under different conditions:
- different light levels;
- presence of smoke;
- two phantom-endoscope distances (~5cm or ~10cm);
If you use this dataset, please cite:
Penza, V., Ciullo, A. S., Moccia, S., Mattos, L. S., & De Momi, E. (2018). EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms. The International Journal of Medical Robotics and Computer Assisted Surgery, e1926.
For further information, please contact email@example.com
You may request access to the files in this upload, provided that you fulfil the conditions below. The decision whether to grant/deny access is solely under the responsibility of the record owner.
Only people interested in using this dataset for research development.
A.S. Ciullo, V. Penza, L. Mattos, E. De Momi (2016)
"Development of a surgical stereo endoscopic image dataset for
validating 3D stereo reconstruction algorithms." 6th Joint Workshop on
New Technologies for Computer/Robot Assisted Surgery.
Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., & De Momi, E. (2016).
"Dense soft tissue 3D reconstruction refined with super-pixel segmentation for
robotic abdominal surgery." International journal of computer assisted radiology
and surgery, 11(2), 197-206.