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- Titel:
The TUM !LapChole dataset for the M2CAI 2016 workflow challenge
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Stauder, R.; Ostler, D.; Kranzfelder, M.; Koller, S.; Feußner, H.; Navab, N.
- Abstract:
- In this technical report we present our collected dataset of laparoscopic cholecystectomies (!LapChole). Laparoscopic videos of a total of 20 surgeries were recorded and annotated with surgical phase labels, of which 15 were randomly pre-determined as training data, while the remaining 5 videos are selected as test data. This dataset was later included as part of the M2CAI 2016 workflow detection challenge during MICCAI 2016 in Athens.
- Stichworte:
- CAMP,M2CAI,SurgicalWorkflow,ComputerAidedSurgery
- Zeitschriftentitel:
- arXiv preprint arXiv:1610.09278
- Jahr:
- 2016
- Band / Volume:
- abs/1610.09278
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