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software [2017/10/28 21:00]
janin
software [2022/11/28 14:05] (current)
ahuaulme
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 <​html><​div class="​pageTitle">​ Available data-sets </​div></​html>​ <​html><​div class="​pageTitle">​ Available data-sets </​div></​html>​
 +
 +====== PETRAW ======
 +The “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) data-set has been present as a sub-challenge of [[https://​endovis.grand-challenge.org/​|Endovis2021]] at [[https://​www.miccai2021.org/​en/​|MICCAI2021]].
 +
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 +The data-set contains 125 peg transfer sequences performed on a virtual simulator. Each sequence is composed of the following information: ​
 +  * Video
 +  * Kinematic data
 +  * Segmentation
 +  * Workflow annotation at 3 levels of granularity (phases, steps, and activities)
 +
 +{{ ::​petraw.jpg?​nolink&​400 |}}
 +
 +You can found additional information and download the data-set here: https://​www.synapse.org/​PETRAW ​
 +
 +====== MISAW ======
 +The “MIcro-Surgical Anastomose Workflow recognition on training sessions” (MISAW) data-set has been present as a sub-challenge of [[https://​endovis.grand-challenge.org/​|Endovis2020]] at [[https://​www.miccai2020.org/​en/​|MICCAI2020]].
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 +The data-set contains 27 micro-anastomosis training sequences and is composed of the following information:​ {{  :​snapshots_micro_surgical_anastomose.png?​200|MISAW data-set snapshots}}
 +  * Stereoscopic video
 +  * Kinematic data
 +  * Workflow annotation at 3 levels of granularity (phases, steps, and activities)
 +
 +You can found additional information and download the data-set here: https://​www.synapse.org/​MISAW ​
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 +
 +
  
 ====== Ontologies ​ ====== ====== Ontologies ​ ======
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 ====== NeuroSurgicalTools dataset ​ ====== ====== NeuroSurgicalTools dataset ​ ======
  
-You can access ​[[https://​dbouget.bitbucket.io/​2015_tmi_surgical_tool_detection/​|here]] information about the dataset or download directly corresponding images and annotations files [[https://ecm.univ-rennes1.fr/​nuxeo/​nxdoc/default/55cab40f-6564-4026-99b5-37ffb10cdfb3/​view_documents|here]]. +You can access the dataset or download directly corresponding images and annotations files [[https://ged.univ-rennes1.fr/​nuxeo/​nxpath/default/default-domain/​workspaces/​recherche/​LTSI/​MediCIS/NeuroSurgicalToolsDatase@view_documents|here]]. 
-[[https://​dbouget.bitbucket.io/​2015_tmi_surgical_tool_detection/​|{{ ​ :​dataneurosurg.png?​300}}]]+[[https://​dbouget.bitbucket.io/​2015_tmi_surgical_tool_detection/​|{{ ​ :​dataneurosurg.png?​200}}]]
  
 ====== MR mono-subject template ====== ====== MR mono-subject template ======
inserm rennes1 ltsi