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+ | {{:news:capture_d_e_cran_2021-06-15_a_14.04.18.png?650|}} | ||
+ | ====== “MIcro-Surgical Anastomose Workflow recognition” (MISAW) sub-challenge, Call for Participation, Jun-Oct, 2020 ====== | ||
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+ | We are pleased to announce the second “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) sub-challenge as part of the Endoscopic Vision Challenge that will be held jointly with MICCAI 2021 on October 4th, 2021 as a virtual event. | ||
The “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) sub-challenge provides a unique dataset for online automatic recognition of surgical workflow of a peg transfer training session. The objective of 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. The dataset contains video, kinematic, and segmentation data for at least 100 sequences. | The “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) sub-challenge provides a unique dataset for online automatic recognition of surgical workflow of a peg transfer training session. The objective of 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. The dataset contains video, kinematic, and segmentation data for at least 100 sequences. | ||
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+ | For more information about the challenge, dataset and submissions, please visit our website https://www.synapse.org/#!Synapse:syn25147789/wiki/608848 | ||
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+ | **Organizing Board:** | ||
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+ | * [[:members:arnaud.huaulme:index| Arnaud Huaulmé]] Univ Rennes, INSERM, LTSI - UMR 1099, F35000, Rennes, France | ||
+ | * [[:members:pierre.jannin:index| Pierre Jannin]] Univ Rennes, INSERM, LTSI - UMR 1099, F35000, Rennes, France | ||
+ | * [[http://www.bioeng.t.u-tokyo.ac.jp/en/faculty/32_harada.html|Kanako Harada]] Department of Mechanical Engineering, the University of Tokyo, Tokyo, Japan | ||
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