Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation / Studies in Computational Intelligence Bd.832 (PDF)
(Sprache: Englisch)
This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable...
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This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.
Bibliographische Angaben
- Autoren: Joey Sing Yee Tan , Amandeep S. Sidhu
- 2019, 1st ed. 2019, 88 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030155854
- ISBN-13: 9783030155858
- Erscheinungsdatum: 06.04.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 3.63 MB
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Sprache:
Englisch
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