 Image Processing, Computer-Assisted
"Image Processing, Computer-Assisted" 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.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
| Descriptor ID |
D007091
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| MeSH Number(s) |
L01.224.308
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| Concept/Terms |
Image Reconstruction- Image Reconstruction
- Image Reconstructions
- Reconstruction, Image
- Reconstructions, Image
Image Analysis, Computer-Assisted- Image Analysis, Computer-Assisted
- Image Analysis, Computer Assisted
- Computer-Assisted Image Analysis
- Computer Assisted Image Analysis
- Analysis, Computer-Assisted Image
- Computer-Assisted Image Analyses
- Image Analyses, Computer-Assisted
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Below are MeSH descriptors whose meaning is more general than "Image Processing, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Processing, Computer-Assisted".
This graph shows the total number of publications written about "Image Processing, Computer-Assisted" by people in this website by year, and whether "Image Processing, Computer-Assisted" 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 |
|---|
| 1991 | 2 | 0 | 2 | | 1992 | 2 | 2 | 4 | | 1993 | 0 | 2 | 2 | | 1994 | 2 | 6 | 8 | | 1995 | 2 | 3 | 5 | | 1996 | 3 | 6 | 9 | | 1997 | 8 | 9 | 17 | | 1998 | 4 | 8 | 12 | | 1999 | 1 | 7 | 8 | | 2000 | 3 | 11 | 14 | | 2001 | 0 | 7 | 7 | | 2002 | 7 | 10 | 17 | | 2003 | 6 | 9 | 15 | | 2004 | 5 | 21 | 26 | | 2005 | 9 | 15 | 24 | | 2006 | 3 | 9 | 12 | | 2007 | 11 | 18 | 29 | | 2008 | 7 | 16 | 23 | | 2009 | 6 | 15 | 21 | | 2010 | 7 | 20 | 27 | | 2011 | 4 | 11 | 15 | | 2012 | 7 | 24 | 31 | | 2013 | 9 | 18 | 27 | | 2014 | 11 | 18 | 29 | | 2015 | 9 | 23 | 32 | | 2016 | 9 | 13 | 22 | | 2017 | 9 | 25 | 34 | | 2018 | 13 | 9 | 22 | | 2019 | 15 | 8 | 23 | | 2020 | 6 | 7 | 13 | | 2021 | 3 | 1 | 4 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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Porras AR, Bramble MS, Mosema Be Amoti K, Spencer D, Dakande C, Manya H, Vashist N, Likuba E, Ebwel JM, Musasa C, Malherbe H, Mohammed B, Tor-Diez C, Ngoyi DM, Katumbay DT, Linguraru MG, Vilain E. Facial analysis technology for the detection of Down syndrome in the Democratic Republic of the Congo. Eur J Med Genet. 2021 Sep; 64(9):104267.
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Cornish TC. Artificial intelligence for automating the measurement of histologic image biomarkers. J Clin Invest. 2021 04 15; 131(8).
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Kavran AJ, Clauset A. Denoising large-scale biological data using network filters. BMC Bioinformatics. 2021 Mar 25; 22(1):157.
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Nelson BJ, Leng S, Shanblatt ER, McCollough CH, Koenig T. Empirical beam hardening and ring artifact correction for x-ray grating interferometry (EBHC-GI). Med Phys. 2021 Mar; 48(3):1327-1340.
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Scherr T, Löffler K, Böhland M, Mikut R. Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy. PLoS One. 2020; 15(12):e0243219.
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Van Oudenhove L, Kragel PA, Dupont P, Ly HG, Pazmany E, Enzlin P, Rubio A, Delon-Martin C, Bonaz B, Aziz Q, Tack J, Fukudo S, Kano M, Wager TD. Common and distinct neural representations of aversive somatic and visceral stimulation in healthy individuals. Nat Commun. 2020 11 23; 11(1):5939.
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Scherr T, Streule K, Bartschat A, Böhland M, Stegmaier J, Reischl M, Orian-Rousseau V, Mikut R. BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. Bioinformatics. 2020 11 01; 36(17):4668-4670.
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Thomas E, Gerster S, Mugabo L, Jean H, Oates T. Computer vision supported pedestrian tracking: A demonstration on trail bridges in rural Rwanda. PLoS One. 2020; 15(10):e0241379.
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Castillo E, Castillo R, Vinogradskiy Y, Nair G, Grills I, Guerrero T, Stevens C. Technical Note: On the spatial correlation between robust CT-ventilation methods and SPECT ventilation. Med Phys. 2020 Nov; 47(11):5731-5738.
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Prince EW, Whelan R, Mirsky DM, Stence N, Staulcup S, Klimo P, Anderson RCE, Niazi TN, Grant G, Souweidane M, Johnston JM, Jackson EM, Limbrick DD, Smith A, Drapeau A, Chern JJ, Kilburn L, Ginn K, Naftel R, Dudley R, Tyler-Kabara E, Jallo G, Handler MH, Jones K, Donson AM, Foreman NK, Hankinson TC. Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images. Sci Rep. 2020 10 09; 10(1):16885.
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