Sentence examples for multivariate image from inspiring English sources
The non-homogeneous nature of the colonies makes studying the distinction between Fusarium spp. an ideal application for NIR hyperspectral imaging and multivariate image analysis.
The purpose of the current study was to investigate the use of NIR hyperspectral imaging and multivariate image analysis techniques to differentiate between species and strains of the genus Fusarium associated with maize.
The methods under investigation rely on multivariate image analysis, image feature descriptors and statistical control charts (SPCs).
Grenfell AW, Strzelecka M, Crowder ME, Helmke KJ, Fan JL, Schlaitz AL, Heald R. (2016) A versatile multivariate image analysis pipeline reveals features of Xenopus extract spindles.
Alternately, multivariate image analysis based pellet sizing methods may acquire the size information non-intrusively and thus can be implemented for on-line measurement in industrial applications.
The use of multivariate image and texture analysis is proposed in this study to quantitatively characterize the elegance of film-coated tablets.
Multiple realizations of each of the considered geostatistical models and their corresponding tomograms (based on inversion of noise-contaminated simulated data) are used as a multivariate training image.
In multivariate assessments, image analysis nuclear features had significant prognostic associations (p ≤ 0.05) with the development of invasive breast cancer.
Multivariate parametric images obtained by statistical modelling of the relevant parameters allow the reduction of data and a clear definition of the defined disease target.
Multivariate analysis using image measurements indicated a multiplicity of factors, rather than a unique set of factors, that were associated with outcome(s).
Nevertheless, inspection of the immunoblots used to assess PARP cleavage and degradation suggests that the biochemical data are qualitatively most similar to the results obtained using multivariate analysis of images of cells stained with NAO and DRAQ5 (Fig. 2E, F ), consistent with these techniques being superior to other image-based techniques.
