Communications of the ACM
Efficient Applications in User Transparent Parallel Image Processing
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A Software Architecture for User Transparent Parallel Image Processing on MIMD Computers
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Skeletons for parallel image processing: an overview of the SKIPPER project
Parallel Computing - Special issue: Advanced environments for parallel and distributed computing
FRONTIERS '99 Proceedings of the The 7th Symposium on the Frontiers of Massively Parallel Computation
IEEE Transactions on Parallel and Distributed Systems
Grid Databases for Shared Image Analysis in the MammoGrid Project
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
Advanced Computer Architecture and Parallel Processing (Wiley Series on Parallel and Distributed Computing)
Retargeting Sequential Image-Processing Programs for Data Parallel Execution
IEEE Transactions on Software Engineering
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Commodity cluster-based parallel processing of hyperspectral imagery
Journal of Parallel and Distributed Computing
Parallel Asynchronous Watershed Algorithm-Architecture
IEEE Transactions on Parallel and Distributed Systems
Gradient Boundary Detection for Time Series Snapshot Construction in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
SYNASC '07 Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
High-performance systems for in silico microscopy imaging studies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
IEEE Transactions on Information Technology in Biomedicine
Unsupervised segmentation based on robust estimation and color active contour models
IEEE Transactions on Information Technology in Biomedicine
Large-Scale Biomedical Image Analysis in Grid Environments
IEEE Transactions on Information Technology in Biomedicine
Fast and scalable selection algorithms with applications to median filtering
IEEE Transactions on Parallel and Distributed Systems
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This paper describes a general methodology for developing parallel image processing algorithms based on message passing for high resolution images (on the order of several Gigabytes). These algorithms have been applied to histological images and must be executed on massively parallel processing architectures. Advances in new technologies for complete slide digitalization in pathology have been combined with developments in biomedical informatics. However, the efficient use of these digital slide systems is still a challenge. The image processing that these slides are subject to is still limited both in terms of data processed and processing methods. The work presented here focuses on the need to design and develop parallel image processing tools capable of obtaining and analyzing the entire gamut of information included in digital slides. Tools have been developed to assist pathologists in image analysis and diagnosis, and they cover low and high-level image processing methods applied to histological images. Code portability, reusability and scalability have been tested by using the following parallel computing architectures: distributed memory with massive parallel processors and two networks, INFINIBAND and Myrinet, composed of 17 and 1024 nodes respectively. The parallel framework proposed is flexible, high performance solution and it shows that the efficient processing of digital microscopic images is possible and may offer important benefits to pathology laboratories.