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Titlebook: Medical Imaging and Augmented Reality; 7th International Co Guoyan Zheng,Hongen Liao,Su-Lin Lee Conference proceedings 2016 Springer Intern

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Augmented Reality Imaging for Robot-Assisted Partial Nephrectomy Surgerym continues to track the DART and display the segmented 3D tumour and location of surgical instruments relative to the tumour throughout the surgery. The ultrasound point reconstruction root mean squared error (RMSE) was 0.9 mm, the RMSE of tracking the da Vinci surgical instruments was 1.5 mm and t
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Marta Kersten-Oertel,Ian J. Gerard,Simon Drouin,Kevin Petrecca,Jeffery A. Hall,D. Louis Collinsined by Pippenger, but it seems to be very great. We show that there is a constant c.=c.(ɛ) such that C(Ã)≤c.C(A), where c.(ɛ) → 1 if ɛ → 0. Thus, for almost all Boolean functions networks constructed by our method have very small error probabilities (near that of the elements) and almost minimal complexity.
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Interactive Mixed Reality for Muscle Structure and Function Learninghaviour of muscles to his/her own body during different movements. A user study including twenty students was performed by a questionnaire framework. The results indicate that our system is useful for learning the structure and function of the muscle and can be a valuable supplement to established muscle learning paradigms.
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