3-D vision and figure-ground separation by visual cortex
S Grossberg - Perception & psychophysics, 1994 - Springer
A neural network theory of three-dimensional (3-D) vision, called FACADE theory, is
described. The theory proposes a solution of the classical figure-ground problem for …
described. The theory proposes a solution of the classical figure-ground problem for …
Brain segmentation and white matter lesion detection in MR images.
AP Zijdenbos, BM Dawant - Critical reviews in biomedical …, 1994 - europepmc.org
This paper presents a review of methods and techniques that have been proposed for the
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
Knowledge-based image retrieval with spatial and temporal constructs
WW Chu, CC Hsu, AF Cárdenas… - IEEE Transactions on …, 1998 - ieeexplore.ieee.org
A knowledge-based approach to retrieve medical images by feature and content with spatial
and temporal constructs is developed. Selected objects of interest in an image are …
and temporal constructs is developed. Selected objects of interest in an image are …
A knowledge-based approach for retrieving images by content
CC Hsu, WW Chu, RK Taira - IEEE Transactions on Knowledge …, 1996 - ieeexplore.ieee.org
A knowledge based approach is introduced for retrieving images by content. It supports the
answering of conceptual image queries involving similar-to predicates, spatial semantic …
answering of conceptual image queries involving similar-to predicates, spatial semantic …
Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms
This paper demonstrates a time-saving, automated method that helps to segment the lateral
ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain …
ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain …
Segmentation of magnetic resonance brain images using analog constraint satisfaction neural networks
AJ Worth, DN Kennedy - … Conference on Information Processing in Medical …, 1993 - Springer
Abstract The Grey-White Decision Network (GWDN) is presented as an analog constraint
satisfaction neural network that segments magnetic resonance brain images. Constraints on …
satisfaction neural network that segments magnetic resonance brain images. Constraints on …
Segmentation of medical images through competitive learning
AP Dhawan, L Arata - Computer Methods and Programs in Biomedicine, 1993 - Elsevier
In image analysis applications, segmentation of gray-level images into meaningful regions is
an important low-level processing step. Various approaches to segmentation investigated in …
an important low-level processing step. Various approaches to segmentation investigated in …
[图书][B] MRI segmentation and the quantification of white matter lesions
AP Zijdenbos - 1994 - search.proquest.com
Abstract Magnetic Resonance Imaging (MRI) has rapidly become one of the most important
diagnostic tools available to clinicians. This popularity is mainly due to the facts that MRI has …
diagnostic tools available to clinicians. This popularity is mainly due to the facts that MRI has …
[PDF][PDF] Investigation of the use of Neural Networks for Computerised Medical Image Analysis
S Dickson - 1998 - Citeseer
Advances in clinical medical imaging have brought about the routine production of vast
numbers of medical images that need to be analysed. As a result an enormous amount of …
numbers of medical images that need to be analysed. As a result an enormous amount of …
[PDF][PDF] Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
M Saeed - 1997 - dspace.mit.edu
Our contributions involve extending and improving Gaussian mixture model (GMM)-based
approaches to segmentation and restoration. For segmentation, we extend the GMM …
approaches to segmentation and restoration. For segmentation, we extend the GMM …