Results 61 to 70 of about 7,207 (210)

Early Feasibility of Registration of Micro‐PET/CT Scans to Annotated 3D Specimen Models

Head &Neck, EarlyView.
ABSTRACT Background Intraoperative 18F‐fluorodeoxyglucose (18F‐FDG) micro‐positron emission tomography/computed tomography (micro‐PET/CT) is an emerging modality for margin assessment. Prior to clinical use, micro‐PET/CT margin distances must be correlated with gold‐standard histopathology.
Joaquin Austerlitz, Andreja Radevic, Ashtyn McAdoo, Kyrionna Golliday, Cheng Ye, Daniel Fabbri, Adam J. Rosenberg, Marcus Balanky, Anas Alabkaa, Kim A. Ely, Mitra Mehrad, Spencer Roark, Eben Rosenthal, Michael C. Topf   +13 more
wiley   +1 more source

Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions

Microscopy Research and Technique, EarlyView.
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy, Orkun Cevheroğlu, Çağdaş Devrim Son   +2 more
wiley   +1 more source

Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm

IEEE Access
The Gaussian Mixture Model (GMM) is widely used in anomaly detection due to its flexibility in handling complex data distributions and its soft classification mechanism.
Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu   +7 more
doaj   +1 more source

Malarial Parasite Detection Using Gaussian Mixture Model(Gmm)

, 2017
Malaria is a deadly disease and the recent survey by the World Health Organization (WHO) has estimated that malaria causes over 200 million cases of fever annually. The malaria is mostly diagnosed by examining properly stained peripheral blood smear because the protozoal infection parasite invades red blood corpuscles (RBC) of the cardiovascular system.
openaire   +2 more sources

Segmentation d’image par la méthode GMM (Gaussian Mixture Model)

, 2022
e travail effectué et présenté dans ce mémoire se situe dans le domaine du traitement d’images en général et la segmentation d’images en particulier. La segmentation d’images est généralement l’étape la plus importante dans le processus d’analyse d’images. Dans notre projet de fin d’étude nous avons travaillés sur les images médicales cérébrales d’IRM,
Haddouche, Marwa, Rahmani, Ikhlasse
openaire   +1 more source

Electroencephalography‐Based Clustering Reveals Robust Neurophysiological Subtypes in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Parkinson's disease (PD) is clinically heterogeneous, with substantial variability in motor and cognitive features. Conventional clinical scales provide limited insight into underlying neural mechanisms and show poor longitudinal stability.
Daniel Vered, Zoya Katzir, Idan Daniel Grosbard, Avner Thaler, Inbal Maidan   +4 more
wiley   +1 more source

A Novel Monitoring Strategy Combining the Advantages of NPE and GMM

IEEE Access, 2020
Semiconductor manufacturing process data usually have multimodel and multiphase characteristics which do not meet the application assumptions in neighborhood preserving embedding (NPE).
Cheng Zhang, Xunian Dai, Xiaofang Zheng, Yuan Li   +3 more
doaj   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Systemic bio‐inequity links poverty to biodiversity and induces a conservation paradox

People and Nature, EarlyView.
Abstract Biodiversity is declining globally while inequity is growing, and poverty rates are not improving. Global sustainable development and conservation initiatives aim to address biodiversity loss and poverty simultaneously. Through text analysis of global biodiversity policies, we identified a consistent narrative that countries with high ...
Conor Waldock, Van Thi Hai Nguyen, Margaret Awuor Owuor, Anna Samwel Manyanza, Ole Seehausen   +4 more
wiley   +1 more source

Data on MRI brain lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization

Data in Brief, 2019
The data in this article provide details about MRI lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization (GMM-EM) algorithms.
Ju Qiao, Xuezhu Cai, Qian Xiao, Zhengxi Chen, Praveen Kulkarni, Craig Ferris, Sagar Kamarthi, Srinivas Sridhar   +7 more
doaj   +1 more source