Surgical Gesture Recognition

The MISAW data set is composed of 27 sequences of micro-surgical anastomosis on artificial blood vessels performed by 3 surgeons and 3 engineering students. The dataset contained video, kinematic, and procedural descriptions synchronized at 30Hz. The procedural descriptions contained phases, steps, and activities performed by the participants. Source: MIcro-Surgical Anastomose Workflow recognition challenge report

PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session is to transfer 6 blocks from the left to the right and back. Each block must be extracted from a peg with one hand, transferred to the other hand, and inserted in a peg at the other side of the board. All cases were acquired by a non-medical expert on the LTSI Laboratory from the University of Rennes. The data set was divided into a training data set composed of 90 cases and a test data set composed of 60 cases. A case was composed of kinematic data, a video, semantic segmentation of each frame, and workflow annotation.

BernBypass70 is a dataset consisting of 70 surgical videos of LRYGB at Inselspital, Bern University Hospital, Switzerland. The videos were recorded at a resolution of 720 × 576 at 25 fps. StrasBypass70, extending the Bypass40 dataset, is a collection of 70 videos of LRYGB surgeries performed by surgeons at the University Hospital of Strasbourg, France. The videos were recorded at a resolution of 854 × 480 or 1920 × 1080 resolution at 25 fps and were uniformly edited to a resolution of 854 × 480. MultiBypass140 is the combined dataset of 140 videos from Bern and Strasbourg medical centers. All videos have been anonymized by blacking out the potentially identifying frames outside the patient’s body.