Results 41 to 50 of about 388 (166)

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

New Frontiers of Fractal Uncertainty

Fractal and Fractional
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

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

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine

Anais da Academia Brasileira de Ciências
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

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

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

Detection and description of scale invariant interest points with shearlets

, 2017
Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal discontinuities such as edges and corners at multiple scales.
Miguel A. Duval-Poo, Odone, Francesca, De Vito, Ernesto, Noceti, Nicoletta, Duval-Poo, Miguel A., Ernesto De Vito, Francesca Odone, Nicoletta Noceti   +7 more
core   +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

The Construction of Smooth Parseval Frames of Shearlets

, 2012
The shearlet representation has gained increasing recognition in recent years as a framework for the efficient representation of multidimensional data.
K. Guo, D. Labate
core   +1 more source

Shearlet-based detection of flame fronts [PDF]

Experiments in Fluids, 2016
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, Johannes Kiefer, Emily J. King   +2 more
openaire   +2 more sources