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The TUM LapChole dataset for the M2CAI 2016 workflow challenge

, , , , , and . CoRR, (2016)cite arxiv:1610.09278Comment: 5 pages, 2 figures, preliminary reference for published dataset (until larger comparison study of workshop organizers is published).

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.

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[1610.09278] The TUM LapChole dataset for the M2CAI 2016 workflow challenge

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