Results 31 to 40 of about 169 (141)
A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System
Keeping medical images confidential while transmitting is crucial, especially in an open networking environment. One effective approach is blockchain‐based encryption, which provides strong security for sensitive healthcare data. To ensure the greatest levels of medical data integrity and authenticity, our proposed scheme employs a unique Lorenz ...
Fahima Hajjej +4 more
wiley +1 more source
New Frontiers of Fractal Uncertainty
We extend the classical fractal uncertainty principle (FUP) framework in time-frequency analysis by exploring several novel directions. First, we generalize the FUP beyond the classical Gaussian window by investigating non-Gaussian windows and the ...
Saeed Hashemi Sababe, Ismail Nikoufar
doaj +1 more source
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +1 more source
An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine
Skin is the outermost and largest organ of the human body that protects us from the external agents. Among the various types of diseases affecting the skin, melanoma (skin cancer) is the most dangerous and deadliest disease.
POOVIZHI S, GANESH BABU TR
doaj +1 more source
Abstract Breast cancer is one of the major causes of deaths in women. However, the early diagnosis is important for screening and control the mortality rate. Thus for the diagnosis of breast cancer at the early stage, a computer‐aided diagnosis system is highly required.
Kiran Jabeen +6 more
wiley +1 more source
Shearlets on Bounded Domains [PDF]
Shearlet systems have so far been only considered as a means to analyze $L^2$-functions defined on $\R^2$, which exhibit curvilinear singularities. However, in applications such as image processing or numerical solvers of partial differential equations the function to be analyzed or efficiently encoded is typically defined on a non-rectangular shaped ...
Kutyniok, Gitta, Lim, Wang-Q
openaire +2 more sources
ABSTRACT Low‐dose computed tomography (CT) images are prone to noise and artifacts caused by photon starvation and electronic noise. Recently, researchers have explored the use of transformer‐based neural networks combined with generative diffusion models, showing promising results in denoising CT images.
Farzan Niknejad Mazandarani +2 more
wiley +1 more source
Calderón–Zygmund theory on some Lie groups of exponential growth
Abstract Let G=N⋊A$G = N \rtimes A$, where N$N$ is a stratified Lie group and A=R+$A= \mathbb {R}_+$ acts on N$N$ via automorphic dilations. We prove that the group G$G$ has the Calderón–Zygmund property, in the sense of Hebisch and Steger, with respect to a family of flow measures and metrics.
Filippo De Mari +3 more
wiley +1 more source
Shearlet-based detection of flame fronts [PDF]
Identifying and characterizing flame fronts is the most common task in the computer-assisted analysis of data obtained from imaging techniques such as planar laser-induced fluorescence (PLIF), laser Rayleigh scattering (LRS), or particle imaging velocimetry (PIV).
Rafael Reisenhofer +2 more
openaire +2 more sources
A multi‐path residual network for image denoising based on edge prior information
To overcome the problem of the smoothness and loss of high‐frequency details at edges in image denoising, a multi‐path residual network using edge prior information is proposed. Firstly, the edge is recovered from the noisy image via the edge extraction module.
Xuefei Bai, Yongsong Wan, Weiming Wang
wiley +1 more source

