 Pattern Recognition, Automated
"Pattern Recognition, Automated" 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.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
| Descriptor ID |
D010363
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| MeSH Number(s) |
L01.399.750
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Pattern Recognition, Automated".
Below are MeSH descriptors whose meaning is more specific than "Pattern Recognition, Automated".
This graph shows the total number of publications written about "Pattern Recognition, Automated" by people in this website by year, and whether "Pattern Recognition, Automated" 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 |
|---|
| 2003 | 1 | 0 | 1 | | 2004 | 0 | 2 | 2 | | 2005 | 3 | 2 | 5 | | 2006 | 3 | 4 | 7 | | 2007 | 5 | 2 | 7 | | 2008 | 5 | 2 | 7 | | 2009 | 4 | 6 | 10 | | 2010 | 2 | 1 | 3 | | 2012 | 3 | 1 | 4 | | 2013 | 3 | 0 | 3 | | 2014 | 3 | 3 | 6 | | 2015 | 4 | 1 | 5 | | 2016 | 0 | 2 | 2 | | 2017 | 3 | 0 | 3 | | 2018 | 1 | 1 | 2 | | 2019 | 1 | 1 | 2 | | 2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "Pattern Recognition, Automated" by people in Profiles.
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Balachandar N, Chang K, Kalpathy-Cramer J, Rubin DL. Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J Am Med Inform Assoc. 2020 05 01; 27(5):700-708.
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Gerard SE, Herrmann J, Kaczka DW, Musch G, Fernandez-Bustamante A, Reinhardt JM. Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species. Med Image Anal. 2020 02; 60:101592.
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Kamitaki BK, Yum A, Lee J, Rishty S, Sivaraaman K, Esfahanizadeh A, Mani R, Wong S. Yield of conventional and automated seizure detection methods in the epilepsy monitoring unit. Seizure. 2019 Jul; 69:290-295.
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Raj A, Rinn JL. Illuminating Genomic Dark Matter with RNA Imaging. Cold Spring Harb Perspect Biol. 2019 05 01; 11(5).
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Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc. 2018 10 01; 25(10):1366-1374.
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Joshi CN, Chapman KE, Bear JJ, Wilson SB, Walleigh DJ, Scheuer ML. Semiautomated Spike Detection Software Persyst 13 Is Noninferior to Human Readers When Calculating the Spike-Wave Index in Electrical Status Epilepticus in Sleep. J Clin Neurophysiol. 2018 Sep; 35(5):370-374.
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Kim GB, Jung KH, Lee Y, Kim HJ, Kim N, Jun S, Seo JB, Lynch DA. Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J Digit Imaging. 2018 08; 31(4):415-424.
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Jun S, Kim N, Seo JB, Lee YK, Lynch DA. An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors. J Digit Imaging. 2017 Dec; 30(6):761-771.
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Kesner AL, Meier JG, Burckhardt DD, Schwartz J, Lynch DA. Data-driven optimal binning for respiratory motion management in PET. Med Phys. 2018 Jan; 45(1):277-286.
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Shi X, Xing F, Xu K, Xie Y, Su H, Yang L. Supervised graph hashing for histopathology image retrieval and classification. Med Image Anal. 2017 Dec; 42:117-128.
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