DocumentCode :
2485623
Title :
Web-based endoscopy recommender system-ERS
Author :
Krawczyk, Henryk ; Knopa, Rafal ; Kopczynska, K. ; Lipczynski, Maciej
Author_Institution :
Comput. Syst. Archit. Fac., Tech. Univ. Gdansk, Poland
fYear :
2000
fDate :
2000
Firstpage :
257
Lastpage :
261
Abstract :
A Web-based recommender system supporting acquisition and recognition of endoscopy images is described. Utilization of neural networks to identify some disease symptoms is proposed. Moreover, parallel realization of the learning phase of such networks by genetic algorithms is proposed. Some experiments showing advantages of this approach are also presented
Keywords :
diseases; genetic algorithms; image recognition; information resources; learning (artificial intelligence); medical image processing; neural nets; parallel programming; telemedicine; ERS; Web-based endoscopy recommender system; disease symptoms; endoscopy image acquisition; endoscopy image recognition; genetic algorithms; neural networks; parallel learning phase; Biological neural networks; Biomedical imaging; Collaboration; Diseases; Distributed computing; Endoscopes; Image recognition; Internet; Medical diagnostic imaging; Recommender systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Computing in Electrical Engineering, 2000. PARELEC 2000. Proceedings. International Conference on
Conference_Location :
Trois-Rivieres, Que.
Print_ISBN :
0-7695-0759-X
Type :
conf
DOI :
10.1109/PCEE.2000.873641
Filename :
873641
Link To Document :
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