Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 832
Release date:	April 2019
First published:	2019
Authors:	Joey Sing Yee Tan • Amandeep S. Sidhu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	88
Edition:	1st ed. 2019
ISBN-13:	978-3-03-015584-1
Categories:	Books > Medicine > Surgery > General Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-015584-6
Barcode:	9783030155841

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