Title :
A parallel environment for image data mining
Author :
Mazurkiewicz, Adam ; Krawczyk, Henryk
Author_Institution :
Electron., Telecommun. & Informatics Fac., Gdansk Univ. of Technol., Poland
Abstract :
The utilization of data mining, specially image mining procedures in medical diagnosis, is discussed. The endoscopy examinations are taken into account, and the suitable parallel environment PEIDM to create classification and recommendation functions is proposed. Efficiency and scalability of the environment are analyzed.
Keywords :
data mining; image retrieval; medical computing; parallel processing; visual databases; PEIDM; data mining; image database; image mining; medical computing; medical diagnosis; parallel environment architecture; Biomedical imaging; Computer architecture; Data mining; Diseases; Endoscopes; Gold; Image databases; Internet; Scalability; Web server;
Conference_Titel :
Parallel Computing in Electrical Engineering, 2002. PARELEC '02. Proceedings. International Conference on
Print_ISBN :
0-7695-1730-7
DOI :
10.1109/PCEE.2002.1115330
