Computational 2D and 3D medical image data compression models
In this world of big data, the development and exploitation of medical technology is vastly
increasing and especially in big biomedical imaging modalities available across medicine …
increasing and especially in big biomedical imaging modalities available across medicine …
Learning-assisted inversion for solving nonlinear inverse scattering problem
Solving inverse scattering problems (ISPs) is challenging because of its intrinsic ill-
posedness and the nonlinearity. When dealing with highly nonlinear ISPs, ie, those …
posedness and the nonlinearity. When dealing with highly nonlinear ISPs, ie, those …
Effective, automatic procedure extraction
Legacy code can often be made more understandable and maintainable by extracting out
selected sets of statements to form procedures and replacing the extracted code with …
selected sets of statements to form procedures and replacing the extracted code with …
[BUCH][B] Adaptive image processing: a computational intelligence perspective
Illustrating essential aspects of adaptive image processing from a computational intelligence
viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence …
viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence …
Universal image segmentation for optical identification of 2D materials
Abstract Machine learning methods are changing the way data is analyzed. One of the most
powerful and widespread applications of these techniques is in image segmentation …
powerful and widespread applications of these techniques is in image segmentation …
A novel approach to medical image compression
MJ Zukoski, T Boult, T Iyriboz - International journal of …, 2006 - inderscienceonline.com
As medical/biological imaging facilities move towards complete film-less imaging,
compression plays a key role. Although lossy compression techniques yield high …
compression plays a key role. Although lossy compression techniques yield high …
Digital imaging in remote diagnosis of burns
Images are capable of giving an accurate representation of skin color and have been used
extensively in teaching about and researching burn therapy. The advance from analogue to …
extensively in teaching about and researching burn therapy. The advance from analogue to …
Spatial color image segmentation based on finite non-Gaussian mixture models
A Sefidpour, N Bouguila - Expert Systems with Applications, 2012 - Elsevier
Finite mixture models are one of the most widely and commonly used probabilistic
techniques for image segmentation. Although the most well known and commonly used …
techniques for image segmentation. Although the most well known and commonly used …
Wavelet-based lossless compression of coronary angiographic images
The final diagnosis in coronary angiography has to be performed on a large set of original
images. Therefore, lossless compression schemes play a key role in medical database …
images. Therefore, lossless compression schemes play a key role in medical database …
A hybrid forward-inverse neural network with the transceiver-configuration-independent technique for the wideband electromagnetic inverse scattering problem
HJ Hu, LY **ao, J Li, QH Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this work, a hybrid forward-inverse neural network (HFINN) with a transceiver
transformation module (TTM) is proposed to increase the generalizability of machine …
transformation module (TTM) is proposed to increase the generalizability of machine …