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Titlebook: OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based P; First International Danail Stoyanov,

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Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTMcted from video frames by 2D convolutional networks were proved feasible for online phase analysis in former publications. In this paper, we propose to extract fine-level temporal features from video clips using 3D convolutional networks (CNN) and use Long Short-Term Memory (LSTM) networks to captur
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Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopyeling of anatomy or shading. Our method only requires sequential data from monocular endoscopic videos and a multi-view stereo reconstruction method, e.g. structure from motion, that supervises learning in a sparse but accurate manner. Consequently, our method requires neither manual interaction, su
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Wide-Area Shape Reconstruction by 3D Endoscopic System Based on CNN Decoding, Shape Registration andc systems based on active stereo, which projects a grid pattern where grid points are coded by line gaps. One problem of the previous works was that success or failure of 3D reconstruction depends on the stability of feature extraction from the images captured by the endoscope camera. Subsurface sca
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ional organisations have exerted great effort in understanding and adapting to the add-on or new challenges from climate change. A systems approach is an ideal tool for managing the analysis of such complicated systemic challenges. Systems approaches are accepted in health sector projects and resear
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Stefan Franke,Max Rockstroh,Martin Kasparick,Thomas Neumuthhe field of innovation as an economic activity..The book, as its title emphasizes, aims at helping readers to gain a comprehension of two inextricably linked issues:  challenging innovation and the future of human work. To this end, the book integrates a triad of topics: innovation as an economic ac
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