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ModuLab DLC-Medical5
The document discusses a challenge to analyze surgical workflow in laparoscopic surgeries. Participants are tasked with segmenting colorectal surgeries into phases based on video and sensor data. Standard evaluation metrics like precision, recall, and accuracy will be used to assess submissions. Participants can use third party data and are encouraged to submit results from video only, sensors only, and combined data.
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ModuLab DLC-Medical5
- 1. 2018. 10. 31. 의료영상분석 및 처리 - Grand Challenges Biomedical Imaging Analysis - (Surgical Workflow Analysis in the SeonsorOR) 이 동 헌
- 4. The sub-challenge “SurgicalWorkflow Analysis in the SensorOR” focuses on the online workflow analysis of laparoscopic surgeries. Participants are challenged to segment colorectal surgeries into surgical phases based on video and/or sensor data. Participants are encouraged (but not required!) to submit different results based on video frames, sensor data and also their combination. This novel kind of challenge investigates whether additional sensor data from medical devices improves recognition compared to mere video analysis and whether algorithms can handle the variations in colorectal surgery.
- 5. For evaluation ofsubmitted results, standard metrics such as precision, recall, accuracy and the Jaccard index will be used. Participants are free to use third party public data to augmented the provided training data. Participants are encouraged, but not required, to also submit results without pretraining to allow future comparisons.
- 6. vDatasets (preprocessed) Prokto1 Rektum1Sigma1 Phase 0 Phase 1 Phase 3 Phase 4 Phase 5 Phase 6 Phase 7 Phase 8 Phase 10 Phase 11 Phase 12
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