The TUM LapChole dataset for the M2CAI 2016 workflow challenge
The TUM LapChole dataset for the M2CAI 2016 workflow challenge
复制标题
M2CAI 2016 工作流程挑战赛的 TUM LapChole 数据集
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Nassir Navab
中科院分区：
文献类型：
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作者：
R. Stauder;D. Ostler;M. Kranzfelder;S. Koller;H. Feußner;Nassir Navab
在这份技术报告中，我们提出了我们收集的腹腔镜胆囊切除术（LapChole）的数据集。共记录了20例手术的腹腔镜视频，并使用手术阶段标签进行注释，其中15例随机预先确定为训练数据，而其余5例视频则被选为测试数据。该数据集后来被纳入雅典MICCAI 2016期间的M2CAI 2016工作流检测挑战的一部分。
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.