"Signal-To-Noise Ratio" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The comparison of the quantity of meaningful data to the irrelevant or incorrect data.
| Descriptor ID |
D059629
|
| MeSH Number(s) |
E05.318.740.872.875 E05.318.780.800.875 G17.800.500 N05.715.360.750.725.750 N05.715.360.780.700.840 N06.850.520.445.800.875 N06.850.520.830.872.750
|
| Concept/Terms |
Signal-To-Noise Ratio- Signal-To-Noise Ratio
- Ratio, Signal-To-Noise
- Ratios, Signal-To-Noise
- Signal To Noise Ratio
- Signal-To-Noise Ratios
|
Below are MeSH descriptors whose meaning is more general than "Signal-To-Noise Ratio".
Below are MeSH descriptors whose meaning is more specific than "Signal-To-Noise Ratio".
This graph shows the total number of publications written about "Signal-To-Noise Ratio" by people in this website by year, and whether "Signal-To-Noise Ratio" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2012 | 0 | 3 | 3 |
| 2013 | 0 | 1 | 1 |
| 2014 | 0 | 2 | 2 |
| 2015 | 0 | 1 | 1 |
| 2017 | 0 | 1 | 1 |
| 2018 | 0 | 1 | 1 |
| 2022 | 0 | 2 | 2 |
| 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.
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Binary classification of dead detector elements in flat panel detectors using convolutional neural networks. Biomed Phys Eng Express. 2024 Jun 25; 10(4).
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Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores. Sci Rep. 2022 03 16; 12(1):4469.
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Independent evaluation of the harvard automated processing pipeline for Electroencephalography 1.0 using multi-site EEG data from children with Fragile X Syndrome. J Neurosci Methods. 2022 04 01; 371:109501.
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Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems. Phys Med. 2018 Mar; 47:34-41.
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Noise Power Characteristics of a Micro-Computed Tomography System. J Comput Assist Tomogr. 2017 Jan; 41(1):82-89.
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Evaluation of Performance With an Adaptive Digital Remote Microphone System and a Digital Remote Microphone Audio-Streaming Accessory System. Am J Audiol. 2015 Sep; 24(3):440-50.
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Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging. Phys Med Biol. 2014 May 07; 59(9):N37-48.
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Distinguishing analyte from noise components in mass spectra of complex samples: where to cut the noise? Anal Chem. 2014 Apr 01; 86(7):3308-16.
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A fully constrained optimization method for time-resolved multispectral fluorescence lifetime imaging microscopy data unmixing. IEEE Trans Biomed Eng. 2013 Jun; 60(6):1711-20.
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Analysis of intact monoclonal antibody IgG1 by electron transfer dissociation Orbitrap FTMS. Mol Cell Proteomics. 2012 Dec; 11(12):1758-67.