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--- activities:theme1:projects:std:index [2015/12/15 13:46]
janin created
+++ activities:theme1:projects:std:index [2015/12/15 15:30]
janin
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 Detecting tools in surgical videos is an important indregient for context-aware computer-assisted intervention systems. We propose a new two-stage pipeline for tool detection and pose estimation in 2d images, named ShapeDetector. Our approach is data-driven and overcomes strong assumptions made regarding the geometry, number, and position of tools in the image. Our method has been validated for the following three pose parameters: overall position, tip location, and orientaton; using a new surgical tool dataset: the NeuroSurgicalTools data-set made of 2476 monocular images from neurosurgical microscopes during in-vivo surgeries.
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 [[https://ecm.univ-rennes1.fr/nuxeo/nxdoc/default/55cab40f-6564-4026-99b5-37ffb10cdfb3/view_documents|**IMAGES AND ANNOTATIONS**]]