 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 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
Image Reconstruction- Image Reconstruction
- Image Reconstructions
- Reconstruction, Image
- Reconstructions, Image
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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 |
|---|
| 1987 | 1 | 2 | 3 | | 1988 | 4 | 3 | 7 | | 1989 | 7 | 2 | 9 | | 1990 | 9 | 7 | 16 | | 1991 | 10 | 5 | 15 | | 1992 | 7 | 6 | 13 | | 1993 | 6 | 3 | 9 | | 1994 | 11 | 7 | 18 | | 1995 | 8 | 6 | 14 | | 1996 | 6 | 11 | 17 | | 1997 | 10 | 5 | 15 | | 1998 | 11 | 17 | 28 | | 1999 | 12 | 11 | 23 | | 2000 | 14 | 13 | 27 | | 2001 | 9 | 16 | 25 | | 2002 | 13 | 11 | 24 | | 2003 | 21 | 15 | 36 | | 2004 | 10 | 14 | 24 | | 2005 | 3 | 27 | 30 | | 2006 | 5 | 23 | 28 | | 2007 | 8 | 20 | 28 | | 2008 | 11 | 18 | 29 | | 2009 | 9 | 18 | 27 | | 2010 | 14 | 26 | 40 | | 2011 | 8 | 21 | 29 | | 2012 | 11 | 20 | 31 | | 2013 | 11 | 17 | 28 | | 2014 | 9 | 27 | 36 | | 2015 | 10 | 19 | 29 | | 2016 | 13 | 16 | 29 | | 2017 | 11 | 15 | 26 | | 2018 | 13 | 14 | 27 | | 2019 | 4 | 2 | 6 |
To return to the timeline, click here.
Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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Gonet M, Epel B, Halpern HJ, Elas M. Merging Preclinical EPR Tomography with other Imaging Techniques. Cell Biochem Biophys. 2019 Sep; 77(3):187-196.
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Colón-Ramos DA, La Riviere P, Shroff H, Oldenbourg R. Transforming the development and dissemination of cutting-edge microscopy and computation. Nat Methods. 2019 08; 16(8):667-669.
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Sato M, Ogura T, Yamanouchi S, Osaki Y, Doi K. Development of a new image manipulation system based on detection of electroencephalogram signals from the operator's brain: a feasibility study. Radiol Phys Technol. 2019 Jun; 12(2):172-177.
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Nie K, Al-Hallaq H, Li XA, Benedict SH, Sohn JW, Moran JM, Fan Y, Huang M, Knopp MV, Michalski JM, Monroe J, Obcemea C, Tsien CI, Solberg T, Wu J, Xia P, Xiao Y, El Naqa I. NCTN Assessment on Current Applications of Radiomics in Oncology. Int J Radiat Oncol Biol Phys. 2019 06 01; 104(2):302-315.
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Baktash Y, Randall G. Live Cell Imaging of Hepatitis C Virus Trafficking in Hepatocytes. Methods Mol Biol. 2019; 1911:263-274.
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Shiraishi J, Okazaki Y, Goto M. [Image Evaluation with Paired Comparison Method Using Automatic Analysis Software: Comparison of CT Images with Simulated Levels of Exposure Dose]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(1):32-39.
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Wu RY, Liu AY, Wisdom P, Zhu XR, Frank SJ, Fuller CD, Gunn GB, Palmer MB, Wages CA, Gillin MT, Yang J. Characterization of a new physical phantom for testing rigid and deformable image registration. J Appl Clin Med Phys. 2019 Jan; 20(1):145-153.
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Ha W, Sidky EY, Barber RF, Schmidt TG, Pan X. Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. Med Phys. 2019 Jan; 46(1):81-92.
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Sahiner B, Pezeshk A, Hadjiiski LM, Wang X, Drukker K, Cha KH, Summers RM, Giger ML. Deep learning in medical imaging and radiation therapy. Med Phys. 2019 Jan; 46(1):e1-e36.
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Cardenas CE, Anderson BM, Aristophanous M, Yang J, Rhee DJ, McCarroll RE, Mohamed ASR, Kamal M, Elgohari BA, Elhalawani HM, Fuller CD, Rao A, Garden AS, Court LE. Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Phys Med Biol. 2018 11 07; 63(21):215026.
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