ConvUNeXt: An efficient convolution neural network for medical image segmentation
Recently, ConvNeXts constructing from standard ConvNet modules has produced
competitive performance in various image applications. In this paper, an efficient model …
competitive performance in various image applications. In this paper, an efficient model …
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion
Pixel-level image fusion, which merges different modal images into an informative image,
has attracted more and more attention. Despite many methods that have been proposed for …
has attracted more and more attention. Despite many methods that have been proposed for …
A non-conventional review on Multi-modality-based Medical Image Fusion
Today, medical images play a crucial role in obtaining relevant medical information for
clinical purposes. However, the quality of medical images must be analyzed and improved …
clinical purposes. However, the quality of medical images must be analyzed and improved …
Recent advances in tracking devices for biomedical ultrasound imaging applications
With the rapid advancement of tracking technologies, the applications of tracking systems in
ultrasound imaging have expanded across a wide range of fields. In this review article, we …
ultrasound imaging have expanded across a wide range of fields. In this review article, we …
Medical image fusion based on enhanced three-layer image decomposition and chameleon swarm algorithm
PH Dinh - Biomedical Signal Processing and Control, 2023 - Elsevier
Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …
image fusion methods still face challenges because of problems with the quality of the input …
MdedFusion: A multi-level detail enhancement decomposition method for infrared and visible image fusion
To improve the infrared target features and preserve the texture details from source images,
a simple and efficient multi-level detail enhancement decomposition method based on …
a simple and efficient multi-level detail enhancement decomposition method based on …
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 …
Combining spectral total variation with dynamic threshold neural P systems for medical image fusion
PH Dinh - Biomedical Signal Processing and Control, 2023 - Elsevier
Synthesis of medical images is one of the indispensable tasks today because of its
applications in clinical diagnosis. Composite images often suffer from problems such as …
applications in clinical diagnosis. Composite images often suffer from problems such as …
Infrared and visible image fusion based on domain transform filtering and sparse representation
Infrared and visible image fusion is an important branch in the field of information fusion.
Fused images can provide more comprehensive and objective interpretations of complex …
Fused images can provide more comprehensive and objective interpretations of complex …
A new medical image enhancement algorithm using adaptive parameters
The quality of medical images plays a vital role in many image processing applications such
as image segmentation, feature extraction, image classification, image recognition, and …
as image segmentation, feature extraction, image classification, image recognition, and …