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Titlebook: Computer-Assisted and Robotic Endoscopy; First International Xiongbiao Luo,Tobias Reichl,Timothy Soper Conference proceedings 2014 Springe

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Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-ategy that is boosted by the modality independent neighborhood descriptor (MIND) algorithm. Current deformable MR-TRUS registration methods limit to inaccurate deformation estimation and unstable point correspondence. To precisely estimate tissue deformation, we construct a personalized statistical
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Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis,sed to characterize accurately the boundary between informative and non-informative regions. Preliminary results shows that there is a statistically significant difference between each of the methods as some of them are more strict when deciding which part of the image is informative and others regarding which is the non-informative region.
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0302-9743 medical imaging; external tracking systems; medical device control systems; information processing techniques; endoscopy; planning and simulation.978-3-319-13409-3978-3-319-13410-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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