The TUM LapChole dataset for the M2CAI 2016 workflow challenge
  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. 
Ralf Stauder, Daniel Ostler, Michael Kranzfelder, Sebastian Koller,   Hubertus Feu{\ss}ner, Nassir Navab
cs.CV