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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation: 832 (Studies in Computational Intelligence, 832) - Hardcover
Synopsis
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.
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From the Back Cover
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.
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- PublisherSpringer
- Publication date2019
- ISBN 10 3030155846
- ISBN 13 9783030155841
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages97
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation.
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832)
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
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Springer International Publishing, 2019
ISBN 10: 3030155846
ISBN 13: 9783030155841
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an improved mass spring model to simulate soft tissue deformation The first specific contribution on liver modeling using a real-time and knowledge-based fuzzy mass spring model Provides a real-time and knowledge-based fuzzy logic mod. Seller Inventory # 271866521
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
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ISBN 10: 3030155846
ISBN 13: 9783030155841
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 100 pp. Englisch. Seller Inventory # 9783030155841
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
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ISBN 10: 3030155846
ISBN 13: 9783030155841
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030155841
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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832)
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