Base de dados : MEDLINE
Pesquisa : J01.897.104 [Categoria DeCS]
Referências encontradas : 15339 [refinar]
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  1 / 15339 MEDLINE  
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[PMID]:29408875
[Au] Autor:Coppens V; Leuckx G; Heremans Y; Staels W; Verdonck Y; Baeyens L; De Leu N; Heimberg H
[Ad] Endereço:Beta cell Neogenesis, Vrije Universiteit Brussel, Brussels, Belgium.
[Ti] Título:Semi-automated digital measurement as the method of choice for beta cell mass analysis.
[So] Source:PLoS One;13(2):e0191249, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Pancreas injury by partial duct ligation (PDL) activates beta cell differentiation and proliferation in adult mouse pancreas but remains controversial regarding the anticipated increase in beta cell volume. Several reports unable to show beta cell volume augmentation in PDL pancreas used automated digital image analysis software. We hypothesized that fully automatic beta cell morphometry without manual micrograph artifact remediation introduces bias and therefore might be responsible for reported discrepancies and controversy. However, our present results prove that standard digital image processing with automatic thresholding is sufficiently robust albeit less sensitive and less adequate to demonstrate a significant increase in beta cell volume in PDL versus Sham-operated pancreas. We therefore conclude that other confounding factors such as quality of surgery, selection of samples based on relative abundance of the transcription factor Neurogenin 3 (Ngn3) and tissue processing give rise to inter-laboratory inconsistencies in beta cell volume quantification in PDL pancreas.
[Mh] Termos MeSH primário: Automação
Ilhotas Pancreáticas/patologia
[Mh] Termos MeSH secundário: Animais
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180207
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0191249


  2 / 15339 MEDLINE  
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[PMID]:29351303
[Au] Autor:Mihaylov IB; Mellon EA; Yechieli R; Portelance L
[Ad] Endereço:Department of Radiation Oncology, University of Miami,Miami, FL, United States of America.
[Ti] Título:Automated inverse optimization facilitates lower doses to normal tissue in pancreatic stereotactic body radiotherapy.
[So] Source:PLoS One;13(1):e0191036, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:PURPOSE: Inverse planning is trial-and-error iterative process. This work introduces a fully automated inverse optimization approach, where the treatment plan is closely tailored to the unique patient anatomy. The auto-optimization is applied to pancreatic stereotactic body radiotherapy (SBRT). MATERIALS AND METHODS: The automation is based on stepwise reduction of dose-volume histograms (DVHs). Five uniformly spaced points, from 1% to 70% of the organ at risk (OAR) volumes, are used. Doses to those DVH points are iteratively decreased through multiple optimization runs. With each optimization run the doses to the OARs are decreased, while the dose homogeneity over the target is increased. The iterative process is terminated when a pre-specified dose heterogeneity over the target is reached. Twelve pancreatic cases were retrospectively studied. Doses to the target, maximum doses to duodenum, bowel, stomach, and spinal cord were evaluated. In addition, mean doses to liver and kidneys were tallied. The auto-optimized plans were compared to the actual treatment plans, which are based on national protocols. RESULTS: The prescription dose to 95% of the planning target volume (PTV) is the same for the treatment and the auto-optimized plans. The average difference for maximum doses to duodenum, bowel, stomach, and spinal cord are -4.6 Gy, -1.8 Gy, -1.6 Gy, and -2.4 Gy respectively. The negative sign indicates lower doses with the auto-optimization. The average differences in the mean doses to liver and kidneys are -0.6 Gy, and -1.1 Gy to -1.5 Gy respectively. CONCLUSIONS: Automated inverse optimization holds great potential for personalization and tailoring of radiotherapy to particular patient anatomies. It can be utilized for normal tissue sparing or for an isotoxic dose escalation.
[Mh] Termos MeSH primário: Automação
Dosagem Radioterapêutica
[Mh] Termos MeSH secundário: Seres Humanos
Pâncreas/efeitos da radiação
Neoplasias Pancreáticas/radioterapia
Estudos Retrospectivos
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180120
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0191036


  3 / 15339 MEDLINE  
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[PMID]:29231004
[Au] Autor:Tian LL; Shen L; Xue JF; Liu MM; Liang LJ
[Ad] Endereço:Criminal Police Branch, Jiaxing Public Security Bureau, Jiaxing 314000, China.
[Ti] Título:[Establishment of Automation System for Detection of Alcohol in Blood].
[So] Source:Fa Yi Xue Za Zhi;33(1):25-27, 2017 Feb.
[Is] ISSN:1004-5619
[Cp] País de publicação:China
[La] Idioma:chi
[Ab] Resumo:OBJECTIVES: To establish an automation system for detection of alcohol content in blood. METHODS: The determination was performed by automated workstation of extraction-headspace gas chromatography (HS-GC). The blood collection with negative pressure, sealing time of headspace bottle and sample needle were checked and optimized in the abstraction of automation system. The automatic sampling was compared with the manual sampling. RESULTS: The quantitative data obtained by the automated workstation of extraction-HS-GC for alcohol was stable. The relative differences of two parallel samples were less than 5%. The automated extraction was superior to the manual extraction. A good linear relationship was obtained at the alcohol concentration range of 0.1-3.0 mg/mL ( ≥0.999) with good repeatability. CONCLUSIONS: The method is simple and quick, with more standard experiment process and accurate experimental data. It eliminates the error from the experimenter and has good repeatability, which can be applied to the qualitative and quantitative detections of alcohol in blood.
[Mh] Termos MeSH primário: Cromatografia Gasosa/métodos
Etanol/análise
Etanol/sangue
Cromatografia Gasosa-Espectrometria de Massas/métodos
[Mh] Termos MeSH secundário: Automação
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
3K9958V90M (Ethanol)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171213
[St] Status:MEDLINE
[do] DOI:10.3969/j.issn.1004-5619.2017.01.006


  4 / 15339 MEDLINE  
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[PMID]:29177276
[Au] Autor:Dallabernardina P; Ruprecht C; Smith PJ; Hahn MG; Urbanowicz BR; Pfrengle F
[Ad] Endereço:Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. Fabian.Pfrengle@mpikg.mpg.de.
[Ti] Título:Automated glycan assembly of galactosylated xyloglucan oligosaccharides and their recognition by plant cell wall glycan-directed antibodies.
[So] Source:Org Biomol Chem;15(47):9996-10000, 2017 Dec 06.
[Is] ISSN:1477-0539
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:We report the automated glycan assembly of oligosaccharides related to the plant cell wall hemicellulosic polysaccharide xyloglucan. The synthesis of galactosylated xyloglucan oligosaccharides was enabled by introducing p-methoxybenzyl (PMB) as a temporary protecting group for automated glycan assembly. The generated oligosaccharides were printed as microarrays, and the binding of a collection of xyloglucan-directed monoclonal antibodies (mAbs) to the oligosaccharides was assessed. We also demonstrated that the printed glycans can be further enzymatically modified while appended to the microarray surface by Arabidopsis thaliana xyloglucan xylosyltransferase 2 (AtXXT2).
[Mh] Termos MeSH primário: Anticorpos Monoclonais/química
Arabidopsis/química
Automação
Parede Celular/química
Oligossacarídeos/síntese química
Polissacarídeos/química
[Mh] Termos MeSH secundário: Arabidopsis/enzimologia
Parede Celular/enzimologia
Análise em Microsséries
Oligossacarídeos/química
Oligossacarídeos/metabolismo
Pentosiltransferases/metabolismo
Polissacarídeos/metabolismo
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Antibodies, Monoclonal); 0 (Oligosaccharides); 0 (Polysaccharides); EC 2.4.2.- (Pentosyltransferases); EC 2.4.2.- (xyloglucan xylosyltransferase)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171128
[St] Status:MEDLINE
[do] DOI:10.1039/c7ob02605f


  5 / 15339 MEDLINE  
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[PMID]:27770402
[Au] Autor:Soufi M; Kamali-Asl A; Geramifar P; Rahmim A
[Ad] Endereço:Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran, Iran.
[Ti] Título:A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [ F]FDG-PET Imaging.
[So] Source:Mol Imaging Biol;19(3):456-468, 2017 06.
[Is] ISSN:1860-2002
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:PURPOSE: Determination of intra-tumor high-uptake area using 2-deoxy-2-[ F]fluoro-D-glucose ([ F]FDG) positron emission tomography (PET) imaging is an important consideration for dose painting in radiation treatment applications. The aim of our study was to develop a framework towards automated segmentation and labeling of homogeneous vs. heterogeneous tumors in clinical lung [ F]FDG-PET with the capability of intra-tumor high-uptake region delineation. PROCEDURES: We utilized and extended a fuzzy random walk PET tumor segmentation algorithm to delineate intra-tumor high-uptake areas. Tumor textural feature (TF) analysis was used to find a relationship between tumor type and TF values. Segmentation accuracy was evaluated quantitatively utilizing 70 clinical [ F]FDG-PET lung images of patients with a total of 150 solid tumors. For volumetric analysis, the Dice similarity coefficient (DSC) and Hausdorff distance (HD) measures were extracted with respect to gold-standard manual segmentation. A multi-linear regression model was also proposed for automated tumor labeling based on TFs, including cross-validation analysis. RESULTS: Two-tailed t test analysis of TFs between homogeneous and heterogeneous tumors revealed significant statistical difference for size-zone variability (SZV), intensity variability (IV), zone percentage (ZP), proposed parameters II and III, entropy and tumor volume (p < 0.001), dissimilarity, high intensity emphasis (HIE), and SUV (p < 0.01). Lower statistical differences were observed for proposed parameter I (p = 0.02), and no significant differences were observed for SUV and SUV . Furthermore, the Spearman rank analysis between visual tumor labeling and TF analysis depicted a significant correlation for SZV, IV, entropy, parameters II and III, and tumor volume (0.68 ≤ ρ ≤ 0.84) and moderate correlation for ZP, HIE, homogeneity, dissimilarity, parameter I, and SUV (0.22 ≤ ρ ≤ 0.52), while no correlations were observed for SUV and SUV (ρ < 0.08). The multi-linear regression model for automated tumor labeling process resulted in R and RMSE values of 0.93 and 0.14, respectively (p < 0.001), and generated tumor labeling sensitivity and specificity of 0.93 and 0.89. With respect to baseline random walk segmentation, the results showed significant (p < 0.001) mean DSC, HD, and SUV error improvements of 21.4 ± 11.5 %, 1.4 ± 0.8 mm, and 16.8 ± 8.1 % in homogeneous tumors and 7.4 ± 4.4 %, 1.5 ± 0.6 mm, and 7.9 ± 2.7 % in heterogeneous lesions. In addition, significant (p < 0.001) mean DSC, HD, and SUV error improvements were observed for tumor sub-volume delineations, namely 5 ± 2 %, 1.5 ± 0.6 mm, and 7 ± 3 % for the proposed Fuzzy RW method compared to RW segmentation. CONCLUSION: We proposed and demonstrated an automatic framework for significantly improved segmentation and labeling of homogeneous vs. heterogeneous tumors in lung [ F]FDG-PET images.
[Mh] Termos MeSH primário: Algoritmos
Fluordesoxiglucose F18/química
Processamento de Imagem Assistida por Computador
Neoplasias Pulmonares/diagnóstico por imagem
Tomografia por Emissão de Pósitrons
[Mh] Termos MeSH secundário: Automação
Lógica Fuzzy
Seres Humanos
Modelos Lineares
Neoplasias Pulmonares/patologia
Coloração e Rotulagem
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0Z5B2CJX4D (Fluorodeoxyglucose F18)
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161023
[St] Status:MEDLINE
[do] DOI:10.1007/s11307-016-1015-0


  6 / 15339 MEDLINE  
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[PMID]:29357378
[Au] Autor:Law YN; Jian H; Lo NWS; Ip M; Chan MMY; Kam KM; Wu X
[Ad] Endereço:Hong Kong Applied Science & Technology Research Institute Co., Ltd. (ASTRI), Hong Kong SAR, China.
[Ti] Título:Low cost automated whole smear microscopy screening system for detection of acid fast bacilli.
[So] Source:PLoS One;13(1):e0190988, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: In countries with high tuberculosis (TB) burden, there is urgent need for rapid, large-scale screening to detect smear-positive patients. We developed a computer-aided whole smear screening system that focuses in real-time, captures images and provides diagnostic grading, for both bright-field and fluorescence microscopy for detection of acid-fast-bacilli (AFB) from respiratory specimens. OBJECTIVES: To evaluate the performance of dual-mode screening system in AFB diagnostic algorithms on concentrated smears with auramine O (AO) staining, as well as direct smears with AO and Ziehl-Neelsen (ZN) staining, using mycobacterial culture results as gold standard. METHODS: Adult patient sputum samples requesting for M. tuberculosis cultures were divided into three batches for staining: direct AO-stained, direct ZN-stained and concentrated smears AO-stained. All slides were graded by an experienced microscopist, in parallel with the automated whole smear screening system. Sensitivity and specificity of a TB diagnostic algorithm in using the screening system alone, and in combination with a microscopist, were evaluated. RESULTS: Of 488 direct AO-stained smears, 228 were culture positive. These yielded a sensitivity of 81.6% and specificity of 74.2%. Of 334 direct smears with ZN staining, 142 were culture positive, which gave a sensitivity of 70.4% and specificity of 76.6%. Of 505 concentrated smears with AO staining, 250 were culture positive, giving a sensitivity of 86.4% and specificity of 71.0%. To further improve performance, machine grading was confirmed by manual smear grading when the number of AFBs detected fell within an uncertainty range. These combined results gave significant improvement in specificity (AO-direct:85.4%; ZN-direct:85.4%; AO-concentrated:92.5%) and slight improvement in sensitivity while requiring only limited manual workload. CONCLUSION: Our system achieved high sensitivity without substantially compromising specificity when compared to culture results. Significant improvement in specificity was obtained when uncertain results were confirmed by manual smear grading. This approach had potential to substantially reduce workload of microscopists in high burden countries.
[Mh] Termos MeSH primário: Automação
Custos e Análise de Custo
Microscopia/métodos
Mycobacterium tuberculosis/isolamento & purificação
[Mh] Termos MeSH secundário: Seres Humanos
Microscopia/economia
Microscopia de Fluorescência
Escarro/microbiologia
[Pt] Tipo de publicação:COMPARATIVE STUDY; JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; VALIDATION STUDIES
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180226
[Lr] Data última revisão:
180226
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180123
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0190988


  7 / 15339 MEDLINE  
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[PMID]:29351281
[Au] Autor:Sheikhzadeh F; Ward RK; van Niekerk D; Guillaud M
[Ad] Endereço:Department of Electrical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
[Ti] Título:Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.
[So] Source:PLoS One;13(1):e0190783, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the color and spatial information of microscopy images of the tissue. A deep learning-based method that can automatically localize and quantify the regions expressing biomarker(s) in any selected area on a whole slide image is proposed. The deep learning network, which we refer to as Whole Image (WI)-Net, is a fully convolutional network whose input is the true RGB color image of a tissue and output is a map showing the locations of each biomarker. The WI-Net relies on a different network, Nuclei (N)-Net, which is a convolutional neural network that classifies each nucleus separately according to the biomarker(s) it expresses. In this study, images of immunohistochemistry (IHC)-stained slides were collected and used. Images of nuclei (4679 RGB images) were manually labeled based on the expressing biomarkers in each nucleus (as p16 positive, Ki-67 positive, p16 and Ki-67 positive, p16 and Ki-67 negative). The labeled nuclei images were used to train the N-Net (obtaining an accuracy of 92% in a test set). The trained N-Net was then extended to WI-Net that generated a map of all biomarkers in any selected sub-image of the whole slide image acquired by the scanner (instead of classifying every nucleus image). The results of our method compare well with the manual labeling by humans (average F-score of 0.96). In addition, we carried a layer-based immunohistochemical analysis of cervical epithelium, and showed that our method can be used by pathologists to differentiate between different grades of cervical intraepithelial neoplasia by quantitatively assessing the percentage of proliferating cells in the different layers of HPV positive lesions.
[Mh] Termos MeSH primário: Automação
Biomarcadores/metabolismo
Redes Neurais (Computação)
Neoplasias do Colo do Útero/metabolismo
[Mh] Termos MeSH secundário: Biópsia
Feminino
Seres Humanos
Imuno-Histoquímica
Neoplasias do Colo do Útero/patologia
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; VALIDATION STUDIES
[Nm] Nome de substância:
0 (Biomarkers)
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180221
[Lr] Data última revisão:
180221
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180120
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0190783


  8 / 15339 MEDLINE  
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[PMID]:29300769
[Au] Autor:Schultz A; Germann A; Fuss M; Sarzotti-Kelsoe M; Ozaki DA; Montefiori DC; Zimmermann H; von Briesen H
[Ad] Endereço:Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, Sulzbach, Germany.
[Ti] Título:Validation of an automated system for aliquoting of HIV-1 Env-pseudotyped virus stocks.
[So] Source:PLoS One;13(1):e0190669, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The standardized assessments of HIV-specific immune responses are of main interest in the preclinical and clinical stage of HIV-1 vaccine development. In this regard, HIV-1 Env-pseudotyped viruses play a central role for the evaluation of neutralizing antibody profiles and are produced according to Good Clinical Laboratory Practice- (GCLP-) compliant manual and automated procedures. To further improve and complete the automated production cycle an automated system for aliquoting HIV-1 pseudovirus stocks has been implemented. The automation platform consists of a modified Tecan-based system including a robot platform for handling racks containing 48 cryovials, a Decapper, a tubing pump and a safety device consisting of ultrasound sensors for online liquid level detection of each individual cryovial. With the aim to aliquot the HIV-1 pseudoviruses in an automated manner under GCLP-compliant conditions a validation plan was developed where the acceptance criteria-accuracy, precision as well as the specificity and robustness-were defined and summarized. By passing the validation experiments described in this article the automated system for aliquoting has been successfully validated. This allows the standardized and operator independent distribution of small-scale and bulk amounts of HIV-1 pseudovirus stocks with a precise and reproducible outcome to support upcoming clinical vaccine trials.
[Mh] Termos MeSH primário: Automação
Produtos do Gene env/metabolismo
HIV-1/metabolismo
[Mh] Termos MeSH secundário: Linhagem Celular
Seres Humanos
Reprodutibilidade dos Testes
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; VALIDATION STUDIES
[Nm] Nome de substância:
0 (Gene Products, env)
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180215
[Lr] Data última revisão:
180215
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180105
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0190669


  9 / 15339 MEDLINE  
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[PMID]:29329297
[Au] Autor:Eide I; Westad F
[Ad] Endereço:Statoil ASA, Research Centre, Trondheim, Norway.
[Ti] Título:Automated multivariate analysis of multi-sensor data submitted online: Real-time environmental monitoring.
[So] Source:PLoS One;13(1):e0189443, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:A pilot study demonstrating real-time environmental monitoring with automated multivariate analysis of multi-sensor data submitted online has been performed at the cabled LoVe Ocean Observatory located at 258 m depth 20 km off the coast of Lofoten-Vesterålen, Norway. The major purpose was efficient monitoring of many variables simultaneously and early detection of changes and time-trends in the overall response pattern before changes were evident in individual variables. The pilot study was performed with 12 sensors from May 16 to August 31, 2015. The sensors provided data for chlorophyll, turbidity, conductivity, temperature (three sensors), salinity (calculated from temperature and conductivity), biomass at three different depth intervals (5-50, 50-120, 120-250 m), and current speed measured in two directions (east and north) using two sensors covering different depths with overlap. A total of 88 variables were monitored, 78 from the two current speed sensors. The time-resolution varied, thus the data had to be aligned to a common time resolution. After alignment, the data were interpreted using principal component analysis (PCA). Initially, a calibration model was established using data from May 16 to July 31. The data on current speed from two sensors were subject to two separate PCA models and the score vectors from these two models were combined with the other 10 variables in a multi-block PCA model. The observations from August were projected on the calibration model consecutively one at a time and the result was visualized in a score plot. Automated PCA of multi-sensor data submitted online is illustrated with an attached time-lapse video covering the relative short time period used in the pilot study. Methods for statistical validation, and warning and alarm limits are described. Redundant sensors enable sensor diagnostics and quality assurance. In a future perspective, the concept may be used in integrated environmental monitoring.
[Mh] Termos MeSH primário: Automação
Monitoramento Ambiental/métodos
Água/química
[Mh] Termos MeSH secundário: Biomassa
Monitoramento Ambiental/instrumentação
Análise Multivariada
Projetos Piloto
Análise de Componente Principal
Temperatura Ambiente
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Nm] Nome de substância:
059QF0KO0R (Water)
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180210
[Lr] Data última revisão:
180210
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180113
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0189443


  10 / 15339 MEDLINE  
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[PMID]:27774876
[Au] Autor:Lu S; Qiu X; Shi J; Li N; Lu ZH; Chen P; Yang MM; Liu FY; Jia WJ; Zhang Y
[Ti] Título:A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm.
[So] Source:CNS Neurol Disord Drug Targets;16(1):23-29, 2017.
[Is] ISSN:1996-3181
[Cp] País de publicação:United Arab Emirates
[La] Idioma:eng
[Ab] Resumo:AIM: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magnetic resonance (MR) imaging is the most suitable for brain, and it is now widely applied in hospitals, because it is helpful in the four ways of diagnosis, prognosis, pre-surgical, and postsurgical procedures. There are automatic detection methods; however they suffer from low accuracy. METHOD: Therefore, we proposed a novel approach which employed 2D discrete wavelet transform (DWT), and calculated the entropies of the subbands as features. Then, a bat algorithm optimized extreme learning machine (BA-ELM) was trained to identify pathological brains from healthy controls. A 10x10-fold cross validation was performed to evaluate the out-of-sample performance. RESULT: The method achieved a sensitivity of 99.04%, a specificity of 93.89%, and an overall accuracy of 98.33% over 132 MR brain images. CONCLUSION: The experimental results suggest that the proposed approach is accurate and robust in pathological brain detection.
[Mh] Termos MeSH primário: Algoritmos
Encefalopatias/diagnóstico por imagem
Encéfalo/diagnóstico por imagem
Aprendizado de Máquina
[Mh] Termos MeSH secundário: Automação
Encéfalo/patologia
Encefalopatias/patologia
Entropia
Seres Humanos
Processamento de Imagem Assistida por Computador
Imagem Tridimensional
Imagem por Ressonância Magnética
Neuroimagem
Reconhecimento Automatizado de Padrão
Reprodutibilidade dos Testes
Análise de Ondaletas
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180209
[Lr] Data última revisão:
180209
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161025
[St] Status:MEDLINE
[do] DOI:10.2174/1871527315666161019153259



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