Results 51 to 60 of about 12,433,356 (168)

Improved Material Decomposition With a Two-Step Regularization for Spectral CT

IEEE Access, 2019
One of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it ...
Weiwen Wu, Peijun Chen, Vince Varut Vardhanabhuti, Weifei Wu, Hengyong Yu   +4 more
doaj   +1 more source

Research on Material Decomposition of Dual-energy CT Image Based on Iterative Residual Network

CT Lilun yu yingyong yanjiu, 2022
Dual energy computed tomography (DECT) plays an important role in the application of advanced imaging due to its material decomposition capability. Image domain decomposition can directly invert CT images through by linear matrix, but the decomposed ...
Chongxu WANG, Ping CHEN, Jinxiao PAN, Bin LIU   +3 more
doaj   +1 more source

Image Segmentation Model Using Active contour and Image Decomposition [PDF]

, 2006
This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process.
Jean-philippe Thiran, Thiran, J., Bresson, X., Xavier Bresson   +3 more
core   +2 more sources

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang   +6 more
wiley   +1 more source

Algorithms for the Extension two Dimensional Fuzzy Signal via Decomposition and Reconstruction in Fuzzy Wavelets

Journal of Computing Research and Innovation, 2023
The decomposition of an image can be done in the following way: The image is split into a low-resolution part, which can be described by a smaller number of samples than the original image, and a signal difference, which describes the difference between
Jean-louis Akakatshi Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu   +3 more
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Empirical Monocomponent Image Decomposition

IEEE Access, 2018
Monocomponent image decomposition plays an important role in image analysis and related areas, such as image denoising, object detection, and texture segmentation. Existing image decomposition methods can extract monocomponents but their performances are
Ungsumalee Suttapakti, Kitsuchart Pasupa, Kuntpong Woraratpanya   +2 more
doaj   +1 more source

A multiscale approach to texture-based image retrieval

, 2008
This paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing an area with similar texture
Fauzi, Mohammad Faizal Ahmad, Fauzi, Mohammad Faizal Ahmed, Lewis, Paul H.   +2 more
core   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

The 4×4 decomposition image of the original image.

, 2018
The 4×4 decomposition image of the original image.
Shenghua Jin (662923), Shangbing Gao (5421047), He Sun (446247), Zhengwei Zhang (584229)   +3 more
core   +1 more source