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dc.contributor.authorTerashima, Akihiroen_US
dc.contributor.authorMorishima, Akinobuen_US
dc.contributor.authorObama, Kazutakaen_US
dc.contributor.authorSakai, Yoshiharuen_US
dc.contributor.authorMaeda, Taroen_US
dc.contributor.authorAndo, Hideyukien_US
dc.contributor.editorHuang, Tony and Otsuki, Mai and Servières, Myriam and Dey, Arindam and Sugiura, Yuta and Banakou, Domna and Michael-Grigoriou, Despinaen_US
dc.date.accessioned2019-01-23T20:22:12Z
dc.date.available2019-01-23T20:22:12Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-076-5
dc.identifier.issn1727-530X
dc.identifier.urihttps://doi.org/10.2312/egve.20181382
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20181382
dc.description.abstractIn our learning system (OITORE Advance), high learning effect was confirmed by using teaching materials using porcine intestines. However, because the environment inside the abdominal cavity is different between pigs and people, there are scenes with different surgical procedures and surgical skills. Therefore, not all the learned skills are applied in human surgery. Therefore, in this paper we changed teaching materials from pig to human and adjusted the system accordingly.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHardware
dc.subjectPseudo
dc.subjectHaptics
dc.subjectStereoscopic vision
dc.subjectLaparoscopic surgery training system
dc.subjectView sharing system
dc.titleLaparoscopic Sigmoidectomy Surgery Training System Using AR Follow-up Experience of Real Human Surgeryen_US
dc.description.seriesinformationICAT-EGVE 2018 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.description.sectionheadersDemos
dc.identifier.doi10.2312/egve.20181382
dc.identifier.pages19-20


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