Review of neural network applications in medical imaging and signal processing
AS Miller, BH Blott, TK Hames - Medical and Biological Engineering and …, 1992 - Springer
The current applications of neural networks to in vivo medical imaging and signal
processing are reviewed. As is evident from the literature neural networks have already …
processing are reviewed. As is evident from the literature neural networks have already …
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 …
Cortical dynamics of form and motion integration: Persistence, apparent motion, and illusory contours
G Francis, S Grossberg - Vision Research, 1996 - Elsevier
How does the visual system generate percepts of moving forms? How does this happen
when the forms are emergent percepts, such as illusory contours or segregated textures …
when the forms are emergent percepts, such as illusory contours or segregated textures …
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 …
[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 …
A Bayesian approach to edge detection in noisy images
A De Santis, C Sinisgalli - IEEE transactions On Circuits And …, 1999 - ieeexplore.ieee.org
An adaptive method for edge detection in monochromatic unblurred noisy images is
proposed. It is based on a linear stochastic signal model derived from a physical image …
proposed. It is based on a linear stochastic signal model derived from a physical image …
A recurrent cooperative/competitive field for segmentation of magnetic resonance brain images
The gray-white decision network is introduced as an application of a recurrent cooperative/
competitive network for segmentation of magnetic resonance (MR) brain images. The three …
competitive network for segmentation of magnetic resonance (MR) brain images. The three …
Medical imaging with neural networks
CS Pattichis, AG Constantinides - Proceedings of IEEE …, 1994 - ieeexplore.ieee.org
The objective of this paper is to provide an overview of the recent developments in the use of
artificial neural networks in medical imaging. The areas of medical imaging that are covered …
artificial neural networks in medical imaging. The areas of medical imaging that are covered …
Sewage pipe image segmentation using a neural based architecture
J Ruiz-del-Solar, M Köppen - Pattern Recognition Letters, 1996 - Elsevier
This article describes a neural architecture for real-time segmentation of sewage pipe video
images, which is based on processing mechanisms of the mammalian visual system and …
images, which is based on processing mechanisms of the mammalian visual system and …