Results 11 to 20 of about 348 (147)

Image registration and mutual thresholding enable low interimage variability across dynamic MRI measurements of supraclavicular brown adipose tissue during mild cold exposure

Magnetic Resonance in Medicine, 2023
PurposeActivated brown adipose tissue (BAT) enhances lipid catabolism and improves cardiometabolic health. Quantitative MRI of the fat fraction (FF) of supraclavicular BAT (scBAT) is a promising noninvasive measure to assess BAT activity but suffers from high scan variability.
Aashley S. D. Sardjoe Mishre, Borja Martinez‐Tellez, Maaike E. Straat, Mariëtte R. Boon, Oleh Dzyubachyk, Andrew G. Webb, Patrick C. N. Rensen, Hermien E. Kan   +7 more
openaire   +4 more sources

USO DO SISTEMA INTERIMAGE PARA A IDENTIFICAÇÃO DE ALVOS URBANOS EM IMAGENS DO SATÉLITE WORLDVIEW II

Revista Brasileira de Cartografia, 2013
O desenvolvimento tecnológico em sensoriamento remoto vem proporcionando um grande incremento na qualidade das imagens orbitais, permitindo uma melhor visão dos ambientes intra-urbanos. Um exemplo notável é o satélite WorldView II. Lançado em 2009, suas imagens começaram a ser distribuídas comercialmente em 2010. O satélite possui uma resolução de 50cm
Denilson Pereira Passo, Edilson de Souza Bias, Ricardo Seixas Brites, Gilson A. O. P. Costa   +3 more
openaire   +4 more sources

Segmentação Distribuída de Imagem de Sensoriamento Remoto a partir de Banco de Dados PostgreSQL/InterIMAGE [PDF]

Anuário do Instituto de Geociências - UFRJ, 2020
A abordagem de classificação baseada em objetos representa um novo paradigma no processamento de imagens de altas resoluções espaciais, espectrais e temporais, e a construção de objetos baseia-se na segmentação das imagens. A análise de imagens baseada em objetos (GEOBIA - Geographic Object-Based Image Analysis) apresenta métodos capazes de explorar ...
S. D. M. GUARDA, Edson Eyji Sano, Edilson de Souza Bias, Emiliano Ferreira Castejon, P. N. Happ, Alexandre de Amorim Teixeira, Rodrigo Rodrigues Antunes, Rogério Baptista de Sousa   +7 more
core   +4 more sources

DESENVOLVIMENTO DE TÉCNICA PARA MONITORAMENTO DO CADASTRO URBANO BASEADO NA CLASSIFICAÇÃO ORIENTADA A OBJETOS. ESTUDO DE CASO: MUNICÍPIO DE GOIANÉSIA-GO

Revista Brasileira de Cartografia, 2015
O objetivo principal da pesquisa foi demonstrar e avaliar as potencialidades dos processos de classificação baseadas em objeto como instrumento para subsidiar o monitoramento das alterações intra-urbanas, visando atender à manutenção do cadastro técnico ...
Rodrigo Rodrigues Antunes, Edilson de Souza Bias, Ricardo Seixas Brites, Gilson Alexandre Ostwald Pedro da Costa   +3 more
doaj   +3 more sources

Analysis of Basketball Technical Movements Based on Human-Computer Interaction with Deep Learning. [PDF]

Comput Intell Neurosci, 2022
With the continuous development of computer technology, analysis techniques based on various types of sports data sets are also evolving. One typical representative is image‐based motion recognition technology, which enables video action recognition with a certain degree of feasibility.
Meng XH, Shi HY, Shang WH.
europepmc   +2 more sources

A deep learning-based model for prediction of hemorrhagic transformation after stroke. [PDF]

Brain Pathol, 2023
The proposed DWI, PWI, and clinical multiparameter DL model may provide a potential tool for predicting information before therapy to assist the periprocedural management in AIS patients with EVT. Abstract Hemorrhagic transformation (HT) is one of the most serious complications after endovascular thrombectomy (EVT) in acute ischemic stroke (AIS ...
Jiang L, Zhou L, Yong W, Cui J, Geng W, Chen H, Zou J, Chen Y, Yin X, Chen YC.   +9 more
europepmc   +2 more sources

Behaviour Detection and Recognition of College Basketball Players Based on Multimodal Sequence Matching and Deep Neural Networks. [PDF]

Comput Intell Neurosci, 2022
This study fuses multimodal sequence matching with a deep neural network algorithm for college basketball player behavior detection and recognition to conduct in‐depth research and analysis, analyzing the basic components of basketball technical action videos by studying the practical application of technical actions in professional games and teaching ...
Zhang L.
europepmc   +2 more sources

Diffusion tensor brain imaging at 0.55T: A feasibility study. [PDF]

Magn Reson Med
Abstract Purpose To investigate the feasibility of diffusion tensor brain imaging at 0.55T with comparisons against 3T. Methods Diffusion tensor imaging data with 2 mm isotropic resolution was acquired on a cohort of five healthy subjects using both 0.55T and 3T scanners.
Kung HT, Cui SX, Kaplan JT, Joshi AA, Leahy RM, Nayak KS, Haldar JP.   +6 more
europepmc   +2 more sources

Comprehensive Evaluation of Facet Joints Osteoarthritis Radiological Features on Lumbar CT: A Multitask Deep Learning Approach. [PDF]

JOR Spine
To develop a multitask deep learning (DL) model for assessing the severity of five radiological features of facet joint osteoarthritis (FJOA) on lumbar spine CT and evaluate the performance of readers with DL assistance. ABSTRACT Background Accurately evaluating the radiological features of facet joint osteoarthritis (FJOA) may help to elucidate its ...
Wang Y, Chen Z, Huang J, He Q, Leng D, Yang L, Feng J, Lu J, Chen T, Feng Q, Su Z, Lu H, Lu S.   +12 more
europepmc   +2 more sources

Automatic Segmentation of Pathological Glomerular Basement Membrane in Transmission Electron Microscopy Images with Random Forest Stacks. [PDF]

Comput Math Methods Med, 2019
Pathological classification through transmission electron microscopy (TEM) is essential for the diagnosis of certain nephropathy, and the changes of thickness in glomerular basement membrane (GBM) and presence of immune complex deposits in GBM are often used as diagnostic criteria.
Cao L, Lu Y, Li C, Yang W.
europepmc   +2 more sources