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arxiv: 1610.09278 · v2 · submitted 2016-10-28 · 💻 cs.CV

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The TUM LapChole dataset for the M2CAI 2016 workflow challenge

Ralf Stauder , Daniel Ostler , Michael Kranzfelder , Sebastian Koller , Hubertus Feu{\ss}ner , Nassir Navab
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classification 💻 cs.CV
keywords datasetchallengedatalaparoscopiclapcholem2caivideoswere
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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.

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