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Knowledge-based system for medical image compression

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3 Author(s)
Nooman, M. ; Dept. of Syst. & Biomed. Eng., Cairo Univ., Gize, Egypt ; Mohamed, A.S.A. ; Rasmy, M.E.

Presents a way of systemic knowledge modelling representing objective medical image knowledge and compression for picture archiving and communication. A novel encoder model is proposed such that high compression ratio and acceptable visual perception are achieved. The developed knowledge-base system is designed to deal with selecting the suitable structure for the encoder model such that the above criteria are realized

Published in:

Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on

Date of Conference:

14-17 Jun 1992

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