Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832, Band 832) - Hardcover

Buch 337 von 538: Studies in Computational Intelligence

Tan, Joey Sing Yee; Sidhu, Amandeep S.

 
9783030155841: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832, Band 832)
Hardcover
ISBN 10: 3030155846 ISBN 13: 9783030155841
Verlag: Springer, 2019

Inhaltsangabe

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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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. 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3030155846
ISBN 13 
9783030155841
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
97
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783030155872: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence)

Vorgestellte Ausgabe

ISBN 10:  3030155870 ISBN 13:  9783030155872
Verlag: Springer, 2020
Softcover