A pattern recognition application framework for biomedical datasets. Export

@article{citeulike:2263004, abstract = {Scopira facilitates the development of high-performance applications by providing many useful subsystems, flexible and efficient data models, low-level tools such as memory management and serialization, GUI constructs, high-level visualization modules, and the ability to implement parallel algorithms with MPI. Scopira plug-in extensions have been developed to enable Matlab scripts to easily call any Scopira module, thus facilitating the migration of prototypes to highly efficient C++ applications. Scopira is continuously under development and future capabilities will include the ability to develop distributed programs using agents, applicable to grid-computing data mining applications. Scopira has proven to be a successful programming framework for implementing high-performance biomedical data analysis applications. It is based on C++, an efficient object-oriented language, and the source code is available as an open-source project for other researchers to use and adapt to their own research endeavours. Scopira has been compiled to work on Linux and Windows XP operating systems with a port to the Mac OS under development. Scopira, EvIdent and RDP are freely available for download from www.scopira.org.}, address = {National Research Coucil, Institute for Biodiagnostics, Canada. rodrigo.vivanco@nrc-cnrc.gc.ca}, author = {Vivanco, R. and Demko, A. B. and Jarmasz, M. and Somorjai, R. L. and Pizzi, N. J.}, citeulike-article-id = {2263004}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/17441612}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=17441612}, issn = {0739-5175}, journal = {IEEE Eng Med Biol Mag}, keywords = {imageprocessing, imaging, scopira}, number = {2}, pages = {82--85}, posted-at = {2008-05-27 11:36:34}, priority = {2}, title = {A pattern recognition application framework for biomedical datasets.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17441612}, volume = {26}, year = {2007} }

TY - JOUR ID - citeulike:2263004 L3 - citeulike-article-id:2263004 N2 - Scopira facilitates the development of high-performance applications by providing many useful subsystems, flexible and efficient data models, low-level tools such as memory management and serialization, GUI constructs, high-level visualization modules, and the ability to implement parallel algorithms with MPI. Scopira plug-in extensions have been developed to enable Matlab scripts to easily call any Scopira module, thus facilitating the migration of prototypes to highly efficient C++ applications. Scopira is continuously under development and future capabilities will include the ability to develop distributed programs using agents, applicable to grid-computing data mining applications. Scopira has proven to be a successful programming framework for implementing high-performance biomedical data analysis applications. It is based on C++, an efficient object-oriented language, and the source code is available as an open-source project for other researchers to use and adapt to their own research endeavours. Scopira has been compiled to work on Linux and Windows XP operating systems with a port to the Mac OS under development. Scopira, EvIdent and RDP are freely available for download from www.scopira.org. IS - 2 JF - IEEE Eng Med Biol Mag SN - 0739-5175 AD - National Research Coucil, Institute for Biodiagnostics, Canada. rodrigo.vivanco@nrc-cnrc.gc.ca EP - 85 TI - A pattern recognition application framework for biomedical datasets. VL - 26 SP - 82 KW - imageprocessing KW - imaging KW - scopira AU - Vivanco, R AU - Demko, AB AU - Jarmasz, M AU - Somorjai, RL AU - Pizzi, NJ PY - 2007///r UR - http://view.ncbi.nlm.nih.gov/pubmed/17441612 ER -