Results 71 to 80 of about 6,617 (256)

Automatic Gleason Grading of Prostate Cancer Using Shearlet Transform and Multiple Kernel Learning

open access: yesJournal of Imaging, 2016
The Gleason grading system is generally used for histological grading of prostate cancer. In this paper, we first introduce using the Shearlet transform and its coefficients as texture features for automatic Gleason grading.
Hadi Rezaeilouyeh, Mohammad H. Mahoor
doaj   +1 more source

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

open access: yesJournal 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   +4 more
wiley   +1 more source

Speckle Noise Reduction in Medical Ultrasound Images Using Modelling of Shearlet Coefficients as a Nakagami Prior

open access: yesAdvances in Electrical and Electronic Engineering, 2018
The diagnosis of UltraSound (US) medical images is affected due to the presence of speckle noise. This noise degrades the diagnostic quality of US images by reducing small details and edges present in the image.
Amit Garg, Vineet Khandelwal
doaj   +1 more source

Shearlets and Optimally Sparse Approximations

open access: yes, 2011
Multivariate functions are typically governed by anisotropic features such as edges in images or shock fronts in solutions of transport-dominated equations.
DL Donoho   +12 more
core   +1 more source

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

open access: yesModern 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   +17 more
wiley   +1 more source

Robust prestack seismic facies analysis using shearlet transform-based deep learning

open access: yesJournal of Geophysics and Engineering, 2022
One of the primary purposes of seismic stratigraphy is to evaluate the components of seismic layer relationships within a depositional chronology. Prestack seismic images contain a wealth of information, such as variations in the offset and azimuth of ...
Pu Liu   +4 more
semanticscholar   +1 more source

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

open access: yesCAAI 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   +6 more
wiley   +1 more source

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

open access: yesInformatics 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   +3 more
doaj   +1 more source

Linear independence of compactly supported separable shearlet systems

open access: yes, 2015
This paper examines linear independence of shearlet systems. This property has already been studied for wavelets and other systems such as, for instance, for Gabor systems.
Ma, Jackie, Petersen, Philipp
core   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

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