1- https://doi.org/10.1117/12.559610
Combining message-passing and inter-process communication in SMP-hybrid cluster for efficient parallel medical image analysis
- Nov 2, 2004
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Sean C S Tan +1 more
Efficient analysis of medical images to assist physician’s decision making is an important task. However, the analysis of such images often requires sophisticated segmentation and classification algorithms. An approach to speed up these time consuming operations is to use parallel processing. In this paper a new parallel system for medical image analysis is presented. The system combines distributed and shared memory architectures using MPI and the inter-process communication switching mechanism (IPC). MPI is used to communicate between nodes and shared-memory IPC is used to perform shared memory operations among processors within a node. We show how to map a clinical endoscopic image analysis algorithm efficiently onto this architecture. This results in an implementation with significant runtime savings.
- # System For Medical Image Analysis
- # Shared Memory Architectures
- # Medical Image Analysis
- # Inter-process Communication
- # Shared Memory
- # Parallel Image Analysis
- # Efficient Medical Image
- # Image Analysis
- # Communication In Cluster
- # Classification Algorithms
