• Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 04/2019

Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation

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108,98 €
103,53 €
AGGIUNGI AL CARRELLO
TRAMA
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. 

SOMMARIO
List of Figures.- List of Tables.- Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Methodology.- Chapter 4. Fuzzy Inference System, etc.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783030155841
  • Collana: Studies in Computational Intelligence
  • Dimensioni: 235 x 155 mm
  • Formato: Copertina rigida
  • Illustration Notes: IX, 88 p.
  • Pagine Arabe: 88
  • Pagine Romane: ix