UID:
almahu_9948075758502882
Format:
IX, 88 p.
,
online resource.
ISBN:
9783030155858
Series Statement:
Data, Semantics and Cloud Computing, 832
Content:
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. .
Note:
List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030155841
Additional Edition:
Printed edition: ISBN 9783030155865
Additional Edition:
Printed edition: ISBN 9783030155872
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-15585-8
URL:
https://doi.org/10.1007/978-3-030-15585-8
URL:
Volltext
(URL des Erstveröffentlichers)
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