Title :
Forms recognition system for ecographic forms of organs affected by diabetes, using neural networks
Author :
Niculescu, G. ; Ionescu-Tirgoviste, C. ; Pruna, S. ; Costache, Alexandru
fDate :
31 Oct-3 Nov 1996
Abstract :
The presented system offers to the medical research community a useful software tool for assistance in diagnosing and treating diabetes, especially in children. Processing of ecographic images offers to the physician details of the image and its edges that are not visible with the naked eye. These details concern the form dimension (length, area)
Keywords :
area measurement; biomedical ultrasonics; edge detection; length measurement; medical image processing; neural nets; software tools; children; counterpropagation-type neural network; diabetes-affected organs; form dimension; image details; image edges; medical diagnostic imaging; medical research community; morphological image analysis system; useful software tool; Biomedical imaging; Diabetes; Euclidean distance; Image color analysis; Image edge detection; Kernel; Medical treatment; Neural networks; Pediatrics; Software tools;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.646514
