Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain
As an effective way to integrate the information contained in multiple medical images with
different modalities, medical image fusion has emerged as a powerful technique in various …
different modalities, medical image fusion has emerged as a powerful technique in various …
Feature-motivated simplified adaptive PCNN-based medical image fusion algorithm in NSST domain
P Ganasala, V Kumar - Journal of digital imaging, 2016 - Springer
Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and
follow-up studies of various diseases. It provides a composite image containing critical …
follow-up studies of various diseases. It provides a composite image containing critical …
Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space
Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …
comprehensive medical images. This work proposes a new scheme to fuse computed …
Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion
Medical image fusion has many applications to healthcare that is accomplished by
extracting and then combining the complementary information from multiple medical images …
extracting and then combining the complementary information from multiple medical images …
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network
This paper presents a new fusion scheme for the CT and MR medical images that utilizes
both the features of the nonsubsampled shearlet transform (NSST) and spiking neural …
both the features of the nonsubsampled shearlet transform (NSST) and spiking neural …
Multi-modal medical image fusion framework using co-occurrence filter and local extrema in NSST domain
The fusion of vital imaging information has turned into a primary issue for biomedical
applications. In this paper, a new multi-modality medical image fusion method is proposed in …
applications. In this paper, a new multi-modality medical image fusion method is proposed in …
Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network
Medical image fusion of images obtained via different modes can expand the inherent
information of original images, whereby the fused image has a superior ability to display …
information of original images, whereby the fused image has a superior ability to display …
Multi-modal medical image fusion using the inter-scale and intra-scale dependencies between image shift-invariant shearlet coefficients
For the quality of the fused outcome is determined by the amount of the information captured
from the source images, thus, a multi-modal medical image fusion method is developed in …
from the source images, thus, a multi-modal medical image fusion method is developed in …
NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency
In this article, a novel multimodal medical image fusion (MIF) method based on non-
subsampled contourlet transform (NSCT) and pulse-coupled neural network (PCNN) is …
subsampled contourlet transform (NSCT) and pulse-coupled neural network (PCNN) is …
EGGDD: An explicit dependency model for multi-modal medical image fusion in shift-invariant shearlet transform domain
Most of the traditional medical image fusion methods that use the multi-scale decomposition
schemes suffer from the bad image representations and the loss of the dependency in …
schemes suffer from the bad image representations and the loss of the dependency in …