A multiresolution probabilistic neural network for image segmentation

Kollias, S; Kalogeras, D

dc.contributor.author	Kollias, S	en
dc.contributor.author	Kalogeras, D	en
dc.date.accessioned	2014-03-01T02:48:12Z
dc.date.available	2014-03-01T02:48:12Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33634
dc.subject	Image Segmentation	en
dc.subject	Magnetic Resonance Image	en
dc.subject	Maximum Likelihood Estimate	en
dc.subject	Probabilistic Neural Network	en
dc.subject	Neural Network	en
dc.title	A multiresolution probabilistic neural network for image segmentation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1994.389592	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1994.389592	en
heal.publicationDate	1994	en
heal.abstract	A multiresolution network for segmenting textures and magnetic resonance images is proposed, based on maximum likelihood estimation. The network incorporates a probabilistic neural architecture to facilitate the generation of likelihood estimates. Further on, an iterative segmentation process is used, which refines the likelihood estimates based upon both the neighbouring estimated likelihoods and the confidence on these estimates. A multiresolution neural	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1994.389592	en