| 书目名称 | Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation |
| 编辑 | Joey Sing Yee Tan,Amandeep S. Sidhu |
| 视频video | |
| 概述 | 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 re |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2019 |
| 关键词 | Knowledge-based Fuzzy Mass Spring Model Parameters Controller; FMPC Inference System; Surgical Simulat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-15585-8 |
| isbn_ebook | 978-3-030-15585-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:48:08
