 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) |
L01.725
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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 |
|---|
| 2002 | 1 | 0 | 1 | | 2003 | 0 | 1 | 1 | | 2004 | 0 | 2 | 2 | | 2005 | 2 | 0 | 2 | | 2006 | 3 | 2 | 5 | | 2007 | 1 | 0 | 1 | | 2008 | 2 | 1 | 3 | | 2009 | 3 | 0 | 3 | | 2010 | 0 | 1 | 1 | | 2011 | 3 | 1 | 4 | | 2012 | 3 | 4 | 7 | | 2013 | 1 | 0 | 1 | | 2014 | 1 | 1 | 2 | | 2015 | 1 | 1 | 2 | | 2016 | 0 | 1 | 1 | | 2019 | 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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Viswanath SE, Chirra PV, Yim MC, Rofsky NM, Purysko AS, Rosen MA, Bloch BN, Madabhushi A. Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. BMC Med Imaging. 2019 02 28; 19(1):22.
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Stoehr B, McClure S, Höflich A, Al Kobaisi M, Hall C, Murphy PJ, Evans D. Unusual Nature of Fingerprints and the Implications for Easy-to-Clean Coatings. Langmuir. 2016 Jan 19; 32(2):619-25.
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DeJesus MA, Ambadipudi C, Baker R, Sassetti C, Ioerger TR. TRANSIT--A Software Tool for Himar1 TnSeq Analysis. PLoS Comput Biol. 2015 Oct; 11(10):e1004401.
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Wang Y, Luo J, Hao S, Xu H, Shin AY, Jin B, Liu R, Deng X, Wang L, Zheng L, Zhao Y, Zhu C, Hu Z, Fu C, Hao Y, Zhao Y, Jiang Y, Dai D, Culver DS, Alfreds ST, Todd R, Stearns F, Sylvester KG, Widen E, Ling XB. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. Int J Med Inform. 2015 Dec; 84(12):1039-47.
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Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors. J Magn Reson Imaging. 2015 May; 41(5):1383-93.
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Adriaenssens T, Ughi GJ, Dubois C, Onsea K, De Cock D, Bennett J, Wiyono S, Vanhaverbeke M, Sinnaeve P, Belmans A, D'hooge J, Desmet W. Automated detection and quantification of clusters of malapposed and uncovered intracoronary stent struts assessed with optical coherence tomography. Int J Cardiovasc Imaging. 2014 Jun; 30(5):839-48.
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Lee J, Nam Y, McManus DD, Chon KH. Time-varying coherence function for atrial fibrillation detection. IEEE Trans Biomed Eng. 2013 Oct; 60(10):2783-93.
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Vedantham S, Shi L, Karellas A, O'Connell AM. Dedicated breast CT: fibroglandular volume measurements in a diagnostic population. Med Phys. 2012 Dec; 39(12):7317-28.
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Jasuja GK, Reisman JI, Miller DR, Berlowitz DR, Hylek EM, Ash AS, Ozonoff A, Zhao S, Rose AJ. Identifying major hemorrhage with automated data: results of the Veterans Affairs study to improve anticoagulation (VARIA). Thromb Res. 2013 Jan; 131(1):31-6.
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Wählby C, Kamentsky L, Liu ZH, Riklin-Raviv T, Conery AL, O'Rourke EJ, Sokolnicki KL, Visvikis O, Ljosa V, Irazoqui JE, Golland P, Ruvkun G, Ausubel FM, Carpenter AE. An image analysis toolbox for high-throughput C. elegans assays. Nat Methods. 2012 Apr 22; 9(7):714-6.
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