Welcome to EndoVis

With the advent of artificial intelligence as key technology in modern medicine, surgical data science (SDS) promises to improve the quality and value of the particular domain of interventional healthcare through capturing, organization, analysis, and modeling of data, thus creating benefit for both patients and medical staff. Holistic SDS concepts span the topics of context-aware perception in and beyond the operating room, data interpretation and real-time assistance or decision support. At the same time, minimally invasive surgery using cameras to observe the internal anatomy has become the state-of-the-art approach to many surgical procedures. Contributing to the key aspect of perception, endoscopic vision thus constitutes a central component of SDS and computer-assisted interventions.

From this arises the necessity for high-quality common datasets that allow the scientific community to perform comparative benchmarking and validation of endoscopic vision algorithms. With EndoVis, we present you a large collection of publicly accessible datasets comprising various computer vision tasks (classification, segmentation, detection, localization,…) and subdisciplines ranging from laparoscopy to coloscopy and surgical training. These datasets can be used for both de novo development as well as validation of methods. EndoVis organizes high-profile international challenges for the comparative validation of endoscopic vision algorithms that focus on different problems each year at MICCAI, thus representing a major driving force of advancements in the field.

Recent Challenges

Registration and Rules

If you would like to participate in the challenge, please read the challenge rules.

Please note that

  • To get data access please check the specific sub-challenge sites on how to proceed.
  • By registering, you agree and accept all the challenge rules. To receive access to the data of the sub-challenges you have to first send a signed version of the challenge rules to the sub-challenge organizers.
  • Upload your results as described in the submission guidelines of the sub-challenges before the deadline.

General Chair

Stefanie Speidel

National Center for Tumor Diseases Dresden, Germany

Lena Maier-Hein

German Cancer
Research Center,
Germany

Danail Stoyanov

University College London,
United Kingdom

Organization Committee

Sebastian Bodenstedt

National Center for Tumor Diseases Dresden, Germany

Annika

Reinke

German Cancer
Research Center,
Germany

Sophia

Bano

University College London,
United Kingdom

Contact

If you have any question regarding to this challenge, please send an email to the following address:

This challenge is endorsed by the International Society for Computer Aided Surgery (ISCAS) and organized by the open source and open data group of ISCAS.