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Published August 22, 2016 | Version v1
Dataset Restricted

EndoAbS Dataset

  • 1. Politecnico di Milano

Description

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 veronica.penza@iit.it

Files

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Additional details

References

  • 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.