Title
Resource-Centered Distributed Processing of Large Histopathology Images
Date Issued
14 July 2017
Access level
open access
Resource Type
conference paper
Author(s)
Université Pierre et Marie Curie
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Automatic cell nuclei detection is a real challenge in medical imagery. The Marked Point Process (MPP) is one of the most promising scalable and paralellizable method. To handle large histopathology images, the algorithm has to be distributed. A new parallelization paradigm called Ordered Read-Write Locks (ORWL) is presented as a possible solution for solving some of the unwanted side effects of the distribution, namely an imprecision of the results on the internal boundaries of partitioned images. This solution extends a parallel version of MPP that has reached good speedups on GPU cards, but was not scaling to complete images as they appear in practical data.
Start page
367
End page
370
Language
English
OCDE Knowledge area
Ciencias de la computación
Radiología, Medicina nuclear, Imágenes médicas
Scopus EID
2-s2.0-85026661271
ISBN of the container
9781509035939
Conference
Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016
Sources of information:
Directorio de Producción Científica
Scopus