Corpus ID: 202540504

3D landmark detection for augmented reality based otologic procedures

  title={3D landmark detection for augmented reality based otologic procedures},
  author={Raabid Hussain and Alain Lalande and Kibrom Berihu Girum and Caroline Guigou and Alexis Bozorg Grayeli},
Ear consists of the smallest bones in the human body and does not contain significant amount of distinct landmark points that may be used to register a preoperative CT-scan with the surgical video in an augmented reality framework. Learning based algorithms may be used to help the surgeons to identify landmark points. This paper presents a convolutional neural network approach to landmark detection in preoperative ear CT images and then discusses an augmented reality system that can be used to… Expand
1 Citations
Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos
An augmented reality system to visualize the cochlear axis in intraoperative videos was developed and yielded millimetric accuracy and remained stable throughout the experimental study despite camera movements throughout the procedure in experimental conditions. Expand


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This work focused on implementing a real-time augmented reality based system for robotic-assisted transtympanic surgery, which is a crucial first step towards keyhole surgical approach to middle and inner ears. Expand
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  • Computer Science
  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
This work proposes a novel architectural unit, which is term the "Squeeze-and-Excitation" (SE) block, that adaptively recalibrates channel-wise feature responses by explicitly modelling interdependencies between channels and finds that SE blocks produce significant performance improvements for existing state-of-the-art deep architectures at minimal additional computational cost. Expand
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