Results 71 to 80 of about 5,473 (223)

A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System

Journal of Sensors, Volume 2026, Issue 1, 2026.
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, Saba Inam, Shamsa Kanwal, Ala Saleh Alluhaidan, Deepali   +4 more
wiley   +1 more source

Multivariate $\alpha$-molecules

, 2016
The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features.
Flinth, Axel, Schäfer, Martin
core   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
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, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source

Three-dimensional OCT Compressed Sensing using the shearlet transform under continuous trajectories sampling

Informatics in Medicine Unlocked, 2020
Background: Optical Coherence Tomography (OCT) is an emerging medical imaging technology. It is well suited to various medical applications requiring tissue imaging with micrometer resolution and millimeter penetration depth such as in ophthalmology and ...
Bassel Haydar, Stéphane Chrétien, Adrien Bartoli, Brahim Tamadazte   +3 more
doaj   +1 more source

An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images

CAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 842-857, June 2025.
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, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori   +6 more
wiley   +1 more source

A Time‐Adaptive Diffusion‐Based CT Image Denoising Method by Processing Directional and Non‐Local Information

International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.
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, Paul Babyn, Javad Alirezaie   +2 more
wiley   +1 more source

3D shearlet-based regulariation for inverse problems with an application to industrial X-ray computed tomography

e-Journal of Nondestructive Testing
Various regularization terms have been proposed for inverse problems. In this work, we investigate the shearlet-based regularization in the context of sparse-view X-ray computed tomography(XCT) reconstruction of industrial parts.
Xiaoya Chen, Patricio Guerrero, Wenjuan Sun, Wim Dewulf   +3 more
doaj   +1 more source

Shearlets on Bounded Domains [PDF]

, 2011
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

Calderón–Zygmund theory on some Lie groups of exponential growth

Mathematische Nachrichten, Volume 298, Issue 1, Page 113-141, January 2025.
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, Matteo Levi, Matteo Monti, Maria Vallarino   +3 more
wiley   +1 more source

Non-subsample Shearlet Wave Watermarking Algorithm Based on Texture Directionality [PDF]

Jisuanji gongcheng, 2018
In order to solve the problem of the irreconcilability between invisibility and robustness of watermarking algorithm,a novel watermarking algorithm using Non-subsample Shearlet Wave Transform(NSST) is proposed.The algorithm uses shearlet wave transform ...
ZHAO Jian,FAN Shuaishuai,XU Wensheng,ZHANG Wanru
doaj