scholarly journals A Framework for Registration, Statistical Characterization and Classification of Cortically Constrained Functional Imaging Data

2005 ◽  
pp. 186-196 ◽  
Author(s):  
Anand A. Joshi ◽  
David W. Shattuck ◽  
Paul M. Thompson ◽  
Richard M. Leahy
Keyword(s):  
Functional Imaging ◽  
Imaging Data ◽  
Statistical Characterization

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data

2021 ◽  
pp. 1-15
Author(s):  
Phawis Thammasorn ◽  
Wanpracha A. Chaovalitwongse ◽  
Daniel S. Hippe ◽  
Landon S. Wootton ◽  
Eric C. Ford ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Nearest Neighbor ◽  
Small Sample ◽  
Imaging Data ◽  
Medical Imaging Data

Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia

2017 ◽  
pp. 265-275 ◽  
Author(s):  
Tewodros Mulugeta Dagnew ◽  
Letizia Squarcina ◽  
Massimo W. Rivolta ◽  
Paolo Brambilla ◽  
Roberto Sassi
Keyword(s):  
Brain Imaging ◽  
Imaging Data ◽  
Brain Imaging Data

scholarly journals Defect characterization, diagnosis and repair of wood flooring based on a field survey

2018 ◽  
Vol 68 (329) ◽  
pp. 149 ◽  
Author(s):  
A. Delgado ◽  
C. Pereira ◽  
J. De Brito ◽  
J. D. Silvestre
Keyword(s):  
Expert System ◽  
Field Survey ◽  
Diagnostic Methods ◽  
Defect Characterization ◽  
Statistical Characterization ◽  
Affected Area ◽  
Wood Flooring ◽  
Repair Techniques

A statistical characterization of defects in 35 buildings and 98 wood floorings (softwood and hardwood floors, and laminated and engineered wood floors), their diagnostic methods and repair solutions is presented. An expert system for inspecting wood flooring, comprising the classification of defects, their most probable causes, diagnostic methods and repair techniques, was used. Results include age, affected area, severity and frequency of defects and their main causes, as well as appropriate diagnostic methods, preventive and curative repair solutions most prescribed and the most significant correlations. Scratches were detected in more than five sixths of the sample, highly associated with exterior mechanical actions, and with an inadequate finishing layer. Wearing of the finishing layer was detected in a quarter of the inspected floorings. Accordingly, the application of a suitable finishing layer and, alternatively, its replacement are the most prescribed repair techniques.

scholarly journals Author response: Removing physiological motion from intravital and clinical functional imaging data

2018 ◽  
Author(s):  
Sean C Warren ◽  
Max Nobis ◽  
Astrid Magenau ◽  
Yousuf H Mohammed ◽  
David Herrmann ◽  
...  
Keyword(s):  
Functional Imaging ◽  
Author Response ◽  
Imaging Data ◽  
Physiological Motion

Seronegative Spondyloarthritis: Epidemiology, Pathogenesis, And Pathology

2018 ◽  
Author(s):  
Walter P Maksymowych
Keyword(s):  
Association Studies ◽  
Human Leukocyte ◽  
Hla Class I ◽  
Population Based ◽  
Cell Phenotype ◽  
Imaging Data ◽  
Leukocyte Antigen ◽  
Seronegative Spondyloarthritis ◽  
Magnetic Resonance Imaging Mri

Classification of spondyloarthritis (SpA) is aimed at including patients with radiographic evidence of sacroiliitis and those with early disease who do not yet meet radiographic criteria but have positive features on magnetic resonance imaging (MRI). Most studies report a prevalence of SpA of 0.1 to 0.6%. Human leukocyte antigen (HLA)-B27 contributes approximately 20% of the heritability of SpA, and non–major histocompatibility complex loci identified to date (n = 113) contribute another approximately 10%. To date, 160 subtypes of HLA-B*27 have been reported, although population-based disease association studies are limited to only a few subtypes. Subtypes HLA-B*27:05 and HLA-B*27:04 are examples of subtypes associated with disease, whereas HLA-B*27:06 and HLA-B*27:09 are nonassociated. Properties of the B27 molecule relevant to pathogenesis include antigen presentation, propensity to misfold, and formation of homodimers. Key pathways identified by genetic studies include the interleukin (IL)-23 and M1-aminopeptidase pathways. The latter pathway is involved in peptide trimming in the endoplasmic reticulum, changing both the length and amino acid composition of peptides available for HLA class I presentation. IL-23 is a key cytokine regulating expression of IL-17 in a specific T helper cell phenotype, Th17, and also a variety of cells of the innate immune system. The IL-23–IL-17 pathway has been directly implicated in inflammation at sites that are inflamed in SpA. Increasing evidence based on prospective clinical and imaging data supports a link between inflammation and ankylosis, especially if the resolution of inflammation is followed by the appearance of a particular type of reparative tissue, namely, fat metaplasia, on T1-weighted MRI. This review contains 8 figures, 5 tables and 33 references Key words: association, classification, genetics, heritability, innate immunity, prevalence, spondyloarthritis

Universal architecture of corneal segmental tomography biomarkers for artificial intelligence-driven diagnosis of early keratoconus

2021 ◽  
pp. bjophthalmol-2021-319309
Author(s):  
Gairik Kundu ◽  
Rohit Shetty ◽  
Pooja Khamar ◽  
Ritika Mullick ◽  
Sneha Gupta ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Refractive Surgery ◽  
Three Dimensional ◽  
Area Under The Curve ◽  
Preoperative Imaging ◽  
Imaging Data ◽  
Wavefront Aberrations ◽  
Healthy Eyes ◽  
Fellow Eyes

AimsTo develop a comprehensive three-dimensional analyses of segmental tomography (placido and optical coherence tomography) using artificial intelligence (AI).MethodsPreoperative imaging data (MS-39, CSO, Italy) of refractive surgery patients with stable outcomes and diagnosed with asymmetric or bilateral keratoconus (KC) were used. The curvature, wavefront aberrations and thickness distributions were analysed with Zernike polynomials (ZP) and a random forest (RF) AI model. For training and cross-validation, there were groups of healthy (n=527), very asymmetric ectasia (VAE; n=144) and KC (n=454). The VAE eyes were the fellow eyes of KC patients but no further manual segregation of these eyes into subclinical or forme-fruste was performed.ResultsThe AI achieved an excellent area under the curve (0.994), accuracy (95.6%), recall (98.5%) and precision (92.7%) for the healthy eyes. For the KC eyes, the same were 0.997, 99.1%, 98.7% and 99.1%, respectively. For the VAE eyes, the same were 0.976, 95.5%, 71.5% and 91.2%, respectively. Interestingly, the AI reclassified 36 (subclinical) of the VAE eyes as healthy though these eyes were distinct from healthy eyes. Most of the remaining VAE (n=104; forme fruste) eyes retained their classification, and were distinct from both KC and healthy eyes. Further, the posterior surface features were not among the highest ranked variables by the AI model.ConclusionsA universal architecture of combining segmental tomography with ZP and AI was developed. It achieved an excellent classification of healthy and KC eyes. The AI efficiently classified the VAE eyes as ‘subclinical’ and ‘forme-fruste’.

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